image
imagewidth (px) 76
739
| ground_truth
dict |
|---|---|
{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Gastroenteritis patients consulting a GP\n \n </td>\n <td>\n \n Incidence (per 10,000 persons)\n \n </td>\n <td>\n \n Number of laboratory diagnostics (% of patients)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Total\n \n </td>\n <td>\n 2,867\n </td>\n <td>\n 95.0\n </td>\n <td>\n 350 (12%)\n </td>\n </tr>\n <tr>\n <td>\n \n Age in years\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 0\n </td>\n <td>\n 197\n </td>\n <td>\n 663.7\n </td>\n <td>\n 19 (10%)\n </td>\n </tr>\n <tr>\n <td>\n 1–4\n </td>\n <td>\n 536\n </td>\n <td>\n 373.4\n </td>\n <td>\n 55 (10%)\n </td>\n </tr>\n <tr>\n <td>\n 5–14\n </td>\n <td>\n 434\n </td>\n <td>\n 124.8\n </td>\n <td>\n 33 (8%)\n </td>\n </tr>\n <tr>\n <td>\n 15–24\n </td>\n <td>\n 323\n </td>\n <td>\n 91.1\n </td>\n <td>\n 44 (14%)\n </td>\n </tr>\n <tr>\n <td>\n 25–39\n </td>\n <td>\n 559\n </td>\n <td>\n 72.6\n </td>\n <td>\n 79 (14%)\n </td>\n </tr>\n <tr>\n <td>\n 40–64\n </td>\n <td>\n 568\n </td>\n <td>\n 59.1\n </td>\n <td>\n 91 (16%)\n </td>\n </tr>\n <tr>\n <td>\n ≥65\n </td>\n <td>\n 250\n </td>\n <td>\n 60.7\n </td>\n <td>\n 29 (12%)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td colspan=\"5\">\n \n (a) Systematic errors in mm\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Observer\n \n </td>\n <td>\n \n AP LR (mm)\n \n </td>\n <td>\n \n AP SI (mm)\n \n </td>\n <td>\n \n Lat AP (mm)\n \n </td>\n <td>\n \n Lat SI (mm)\n \n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 1.8\n </td>\n <td>\n 1.6\n </td>\n <td>\n 2.6\n </td>\n <td>\n 2.1\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 1.8\n </td>\n <td>\n 1.3\n </td>\n <td>\n 2.4\n </td>\n <td>\n 1.5\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 1.8\n </td>\n <td>\n 1.4\n </td>\n <td>\n 3.1\n </td>\n <td>\n 1.8\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 1.7\n </td>\n <td>\n 1.4\n </td>\n <td>\n 2.3\n </td>\n <td>\n 1.5\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n 1.8\n </td>\n <td>\n 1.3\n </td>\n <td>\n 2.9\n </td>\n <td>\n 1.6\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n 1.5\n </td>\n <td>\n 1.3\n </td>\n <td>\n 2.2\n </td>\n <td>\n 1.7\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n \n (b) Random errors in mm\n \n </td>\n </tr>\n <tr>\n <td>\n \n Observer\n \n </td>\n <td>\n \n AP LR\n \n </td>\n <td>\n \n AP SI\n \n </td>\n <td>\n \n Lat AP\n \n </td>\n <td>\n \n Lat SI\n \n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 2.0\n </td>\n <td>\n 1.7\n </td>\n <td>\n 2.1\n </td>\n <td>\n 2.2\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 2.0\n </td>\n <td>\n 1.6\n </td>\n <td>\n 1.6\n </td>\n <td>\n 1.6\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 2.1\n </td>\n <td>\n 1.7\n </td>\n <td>\n 1.9\n </td>\n <td>\n 2.0\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 1.9\n </td>\n <td>\n 1.7\n </td>\n <td>\n 1.5\n </td>\n <td>\n 1.5\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n 2.0\n </td>\n <td>\n 1.5\n </td>\n <td>\n 2.0\n </td>\n <td>\n 1.9\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n 2.0\n </td>\n <td>\n 2.0\n </td>\n <td>\n 2.0\n </td>\n <td>\n 1.9\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Drug\n \n </td>\n <td>\n \n MIC\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Amphotericin B\n </td>\n <td>\n 2 resistant*\n </td>\n </tr>\n <tr>\n <td>\n Fluconazole\n </td>\n <td>\n 8 resistant\n </td>\n </tr>\n <tr>\n <td>\n Itraconazole\n </td>\n <td>\n 0.125 susceptible\n </td>\n </tr>\n <tr>\n <td>\n Voriconazole\n </td>\n <td>\n 0.06 susceptible\n </td>\n </tr>\n <tr>\n <td>\n Caspofungin\n </td>\n <td>\n 4 resistant\n </td>\n </tr>\n <tr>\n <td>\n Terbinafine\n </td>\n <td>\n 1 susceptible\n </td>\n </tr>\n <tr>\n <td>\n Griseofluvin\n </td>\n <td>\n >16 resistant\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Cell line\n \n </td>\n <td>\n \n Lineage\n \n </td>\n <td>\n \n CTVαScFv\n \n </td>\n <td>\n \n ScFv800E6\n \n </td>\n <td>\n \n mAb 800E6\n \n </td>\n <td>\n \n source/ref\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 32D\n </td>\n <td>\n Myelomonocyte Leukemia (murine)\n </td>\n <td>\n 7\n <sup>\n 1\n </sup>\n </td>\n <td>\n 7\n </td>\n <td>\n 7\n </td>\n <td>\n [21]\n </td>\n </tr>\n <tr>\n <td>\n 32D-ErbB-2\n </td>\n <td>\n Myelomonocyte Leukemia (transfectants)\n </td>\n <td>\n 6\n </td>\n <td>\n 171\n </td>\n <td>\n 2430\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n SK-BR-3\n </td>\n <td>\n </td>\n <td>\n 4\n </td>\n <td>\n 278\n </td>\n <td>\n 2256\n </td>\n <td>\n ATCC/[21]\n </td>\n </tr>\n <tr>\n <td>\n MDA-MB-361\n </td>\n <td>\n </td>\n <td>\n 3\n </td>\n <td>\n 60\n </td>\n <td>\n 399\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ZR-75-1\n </td>\n <td>\n Breast Ca\n </td>\n <td>\n 2\n </td>\n <td>\n 47\n </td>\n <td>\n 289\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n DAL1\n </td>\n <td>\n </td>\n <td>\n 8\n </td>\n <td>\n 44\n </td>\n <td>\n 155\n </td>\n <td>\n our lab\n </td>\n </tr>\n <tr>\n <td>\n MCF7\n </td>\n <td>\n </td>\n <td>\n 3\n </td>\n <td>\n 19\n </td>\n <td>\n 76\n </td>\n <td>\n ATCC/[21]\n </td>\n </tr>\n <tr>\n <td>\n T47D\n </td>\n <td>\n </td>\n <td>\n 2\n </td>\n <td>\n 18\n </td>\n <td>\n 50\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n End 9\n </td>\n <td>\n Endometrial Ca\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 21\n </td>\n <td>\n our lab\n </td>\n </tr>\n <tr>\n <td>\n CRL1\n </td>\n <td>\n Melanoma\n </td>\n <td>\n 6\n </td>\n <td>\n 7\n </td>\n <td>\n 10\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n BE\n </td>\n <td>\n Melanoma\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 20\n </td>\n <td>\n [21]\n </td>\n </tr>\n <tr>\n <td>\n ES-1\n </td>\n <td>\n Melanoma\n </td>\n <td>\n 0\n </td>\n <td>\n 2\n </td>\n <td>\n 22\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n A431\n </td>\n <td>\n Epidermoid Ca\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 10\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n SKOV3\n </td>\n <td>\n Ovary Ca\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 10\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Normal esophagus (n = 6)\n \n </td>\n <td>\n \n Reflux esophagitis (n = 6)\n \n </td>\n <td>\n \n Barrett's esophagus (n = 6)\n \n </td>\n <td>\n \n Esophagus adenocarcinoma (n = 6)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age [years]\n </td>\n <td>\n 55 ± 7\n </td>\n <td>\n 50 ± 9\n </td>\n <td>\n 78 ± 3\n </td>\n <td>\n 79 ± 8\n </td>\n </tr>\n <tr>\n <td>\n Male [%]\n </td>\n <td>\n 17\n </td>\n <td>\n 50\n </td>\n <td>\n 67\n </td>\n <td>\n 67\n </td>\n </tr>\n <tr>\n <td>\n Reflux symptom index score\n </td>\n <td>\n 1.9 ± 0.9\n </td>\n <td>\n 3.8 ± 1.8\n </td>\n <td>\n 1.3 ± 1.2\n </td>\n <td>\n 1.5 ± 1\n </td>\n </tr>\n <tr>\n <td>\n Proton pump inhibitor medication [%]\n </td>\n <td>\n 33\n </td>\n <td>\n 67\n </td>\n <td>\n 67\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td>\n Smoker [%]\n </td>\n <td>\n 33\n </td>\n <td>\n 33\n </td>\n <td>\n 33\n </td>\n <td>\n 33\n </td>\n </tr>\n <tr>\n <td>\n Alcohol intake >20 g/d [%]\n </td>\n <td>\n 17\n </td>\n <td>\n 67\n </td>\n <td>\n 50\n </td>\n <td>\n 33\n </td>\n </tr>\n <tr>\n <td>\n Caucasian ethnicity [%]\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n <td>\n 100\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
"html_form": [
"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Sample\n \n </td>\n <td>\n \n Lipid (%)\n \n </td>\n <td>\n \n BDE-17\n \n </td>\n <td>\n \n BDE-28\n \n </td>\n <td>\n \n BDE-47\n \n </td>\n <td>\n \n BDE-66\n \n </td>\n <td>\n \n BDE-77\n \n </td>\n <td>\n \n BDE-85\n \n </td>\n <td>\n \n BDE-99\n \n </td>\n <td>\n \n BDE-100\n \n </td>\n <td>\n \n BDE-138\n \n </td>\n <td>\n \n BDE-153\n \n </td>\n <td>\n \n BDE-154\n \n </td>\n <td>\n \n BDE-183\n \n </td>\n <td>\n \n BDE-209\n \n </td>\n <td>\n \n Total PBDEsa\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Bacon A\n </td>\n <td>\n 52.3\n </td>\n <td>\n ND (5.2)\n </td>\n <td>\n ND (7.1)\n </td>\n <td>\n ND (78.8)\n </td>\n <td>\n ND (5.2)\n </td>\n <td>\n ND (5.2)\n </td>\n <td>\n ND (5.2)\n </td>\n <td>\n ND (28.8)\n </td>\n <td>\n ND (6.8)\n </td>\n <td>\n ND (5.2)\n </td>\n <td>\n ND (5.2)\n </td>\n <td>\n ND (5.2)\n </td>\n <td>\n ND (5.2)\n </td>\n <td>\n ND (166.6)\n </td>\n <td>\n 165\n </td>\n </tr>\n <tr>\n <td>\n Bacon B\n </td>\n <td>\n 43.4\n </td>\n <td>\n ND (0.4)\n </td>\n <td>\n ND (2.1)\n </td>\n <td>\n ND (19.9)\n </td>\n <td>\n ND (0.4)\n </td>\n <td>\n ND (0.2)\n </td>\n <td>\n NA\n </td>\n <td>\n ND (15.6)\n </td>\n <td>\n ND (2.8)\n </td>\n <td>\n ND (0.4)\n </td>\n <td>\n ND (1.1)\n </td>\n <td>\n ND (0.9)\n </td>\n <td>\n ND (1.7)\n </td>\n <td>\n ND (32.8)\n </td>\n <td>\n 39b\n </td>\n </tr>\n <tr>\n <td>\n Bacon C\n </td>\n <td>\n 35.3\n </td>\n <td>\n 0.7\n </td>\n <td>\n ND (2.0)\n </td>\n <td>\n 30.1\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n 1.4\n </td>\n <td>\n 16.8\n </td>\n <td>\n 4.8\n </td>\n <td>\n ND (0.7)\n </td>\n <td>\n 4.5\n </td>\n <td>\n 2.8\n </td>\n <td>\n 14.3\n </td>\n <td>\n 28.4\n </td>\n <td>\n 105b\n </td>\n </tr>\n <tr>\n <td>\n Beef (ground) A\n </td>\n <td>\n 30.7\n </td>\n <td>\n ND (3.1)\n </td>\n <td>\n 59.7\n </td>\n <td>\n 87.5\n </td>\n <td>\n ND (3.1)\n </td>\n <td>\n ND (3.1)\n </td>\n <td>\n ND (3.1)\n </td>\n <td>\n 35.5\n </td>\n <td>\n 6.2\n </td>\n <td>\n ND (3.1)\n </td>\n <td>\n 6.8\n </td>\n <td>\n 4.6\n </td>\n <td>\n ND (4.2)\n </td>\n <td>\n ND (95.7)\n </td>\n <td>\n 258\n </td>\n </tr>\n <tr>\n <td>\n Beef (ground) B\n </td>\n <td>\n 13.6\n </td>\n <td>\n 0.2\n </td>\n <td>\n ND (0.7)\n </td>\n <td>\n 23.4\n </td>\n <td>\n 0.5\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n 32.3\n </td>\n <td>\n 4.5\n </td>\n <td>\n 0.4\n </td>\n <td>\n 4.7\n </td>\n <td>\n 2.5\n </td>\n <td>\n NA\n </td>\n <td>\n 9.7\n </td>\n <td>\n 79b\n </td>\n </tr>\n <tr>\n <td>\n Beef tenderloin\n </td>\n <td>\n 13.7\n </td>\n <td>\n ND (1.4)\n </td>\n <td>\n ND (1.5)\n </td>\n <td>\n 35.1\n </td>\n <td>\n ND (1.4)\n </td>\n <td>\n NA\n </td>\n <td>\n 1.7\n </td>\n <td>\n 40.3\n </td>\n <td>\n 6.9\n </td>\n <td>\n ND (1.4)\n </td>\n <td>\n 4.9\n </td>\n <td>\n 3.7\n </td>\n <td>\n 3.8\n </td>\n <td>\n ND (11.1)\n </td>\n <td>\n 105\n </td>\n </tr>\n <tr>\n <td>\n Chicken breast\n </td>\n <td>\n 4.9\n </td>\n <td>\n ND (0.04)\n </td>\n <td>\n 0.5\n </td>\n <td>\n 60.5\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n 128\n </td>\n <td>\n 17.1\n </td>\n <td>\n 2.2\n </td>\n <td>\n 12.0\n </td>\n <td>\n 10.8\n </td>\n <td>\n 3.2\n </td>\n <td>\n 48.5\n </td>\n <td>\n 283b\n </td>\n </tr>\n <tr>\n <td>\n Duck\n </td>\n <td>\n 75.1\n </td>\n <td>\n ND (0.5)\n </td>\n <td>\n ND (3.0)\n </td>\n <td>\n 286\n </td>\n <td>\n 2.7\n </td>\n <td>\n ND (0.3)\n </td>\n <td>\n 15.2\n </td>\n <td>\n 609\n </td>\n <td>\n 122\n </td>\n <td>\n 7.3\n </td>\n <td>\n 52.3\n </td>\n <td>\n 42.9\n </td>\n <td>\n 31.6\n </td>\n <td>\n 113\n </td>\n <td>\n 1,283b\n </td>\n </tr>\n <tr>\n <td>\n Ground chicken\n </td>\n <td>\n 7.3\n </td>\n <td>\n ND (0.7)\n </td>\n <td>\n ND (1.5)\n </td>\n <td>\n 11.0\n </td>\n <td>\n ND (0.7)\n </td>\n <td>\n NA\n </td>\n <td>\n ND (0.7)\n </td>\n <td>\n 18.9\n </td>\n <td>\n 4.6\n </td>\n <td>\n ND (0.7)\n </td>\n <td>\n 4.1\n </td>\n <td>\n 2.6\n </td>\n <td>\n 5.8\n </td>\n <td>\n 80\n </td>\n <td>\n 129\n </td>\n </tr>\n <tr>\n <td>\n Ground lamb\n </td>\n <td>\n 19.7\n </td>\n <td>\n ND (2.0)\n </td>\n <td>\n ND (2.1)\n </td>\n <td>\n ND (23.0)\n </td>\n <td>\n ND (2.0)\n </td>\n <td>\n ND (2.0)\n </td>\n <td>\n 3.2\n </td>\n <td>\n 56.8\n </td>\n <td>\n 16.8\n </td>\n <td>\n ND (2.0)\n </td>\n <td>\n 9.6\n </td>\n <td>\n 6.3\n </td>\n <td>\n ND (2.0)\n </td>\n <td>\n ND (150.6)\n </td>\n <td>\n 186\n </td>\n </tr>\n <tr>\n <td>\n Ground pork\n </td>\n <td>\n 21.5\n </td>\n <td>\n ND (2.2)\n </td>\n <td>\n ND (3.5)\n </td>\n <td>\n 53.8\n </td>\n <td>\n ND (2.2)\n </td>\n <td>\n NA\n </td>\n <td>\n 3.1\n </td>\n <td>\n 74.2\n </td>\n <td>\n 12.9\n </td>\n <td>\n 4.3\n </td>\n <td>\n 18.7\n </td>\n <td>\n 15.0\n </td>\n <td>\n 19.9\n </td>\n <td>\n ND (31.3)\n </td>\n <td>\n 221\n </td>\n </tr>\n <tr>\n <td>\n Ground turkey\n </td>\n <td>\n 11.1\n </td>\n <td>\n 0.2\n </td>\n <td>\n ND (0.5)\n </td>\n <td>\n 98\n </td>\n <td>\n 0.8\n </td>\n <td>\n ND (0.1)\n </td>\n <td>\n NA\n </td>\n <td>\n 217\n </td>\n <td>\n 54.4\n </td>\n <td>\n 3.9\n </td>\n <td>\n 32.9\n </td>\n <td>\n 24.1\n </td>\n <td>\n 36.8\n </td>\n <td>\n 245\n </td>\n <td>\n 713b\n </td>\n </tr>\n <tr>\n <td>\n Pork\n </td>\n <td>\n 8.9\n </td>\n <td>\n 0.1\n </td>\n <td>\n ND (0.5)\n </td>\n <td>\n 6.9\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n NA\n </td>\n <td>\n 16.3\n </td>\n <td>\n 1.8\n </td>\n <td>\n 0.2\n </td>\n <td>\n 1.0\n </td>\n <td>\n 1.2\n </td>\n <td>\n 1.3\n </td>\n <td>\n 11.7\n </td>\n <td>\n 41b\n </td>\n </tr>\n <tr>\n <td>\n Pork sausage A\n </td>\n <td>\n 23.7\n </td>\n <td>\n ND (1.3)\n </td>\n <td>\n ND (6.9)\n </td>\n <td>\n 387\n </td>\n <td>\n ND (1.0)\n </td>\n <td>\n ND (0.3)\n </td>\n <td>\n 16.8\n </td>\n <td>\n 688\n </td>\n <td>\n 74.5\n </td>\n <td>\n 5.6\n </td>\n <td>\n 81.6\n </td>\n <td>\n 55.3\n </td>\n <td>\n 14.6\n </td>\n <td>\n 49.7\n </td>\n <td>\n 1,378b\n </td>\n </tr>\n <tr>\n <td>\n Pork sausage B\n </td>\n <td>\n 24.4\n </td>\n <td>\n ND (2.4)\n </td>\n <td>\n ND (3.4)\n </td>\n <td>\n 39.4\n </td>\n <td>\n ND (2.4)\n </td>\n <td>\n ND (2.4)\n </td>\n <td>\n 2.6\n </td>\n <td>\n 71.6\n </td>\n <td>\n 8.3\n </td>\n <td>\n ND (2.4)\n </td>\n <td>\n 22.0\n </td>\n <td>\n 13.7\n </td>\n <td>\n 10.7\n </td>\n <td>\n ND (139)\n </td>\n <td>\n 244\n </td>\n </tr>\n <tr>\n <td>\n Sausage A\n </td>\n <td>\n 26.2\n </td>\n <td>\n ND (2.6)\n </td>\n <td>\n ND (5.5)\n </td>\n <td>\n ND (34.8)\n </td>\n <td>\n ND (2.6)\n </td>\n <td>\n NA\n </td>\n <td>\n 3.1\n </td>\n <td>\n 40.1\n </td>\n <td>\n 6.4\n </td>\n <td>\n ND (2.6)\n </td>\n <td>\n 5.9\n </td>\n <td>\n 4.9\n </td>\n <td>\n 6.9\n </td>\n <td>\n ND (51.0)\n </td>\n <td>\n 1,426\n </td>\n </tr>\n <tr>\n <td>\n Sausage B\n </td>\n <td>\n 28.5\n </td>\n <td>\n ND (2.9)\n </td>\n <td>\n ND (3.2)\n </td>\n <td>\n 94.1\n </td>\n <td>\n ND (3.5)\n </td>\n <td>\n ND (2.9)\n </td>\n <td>\n ND (2.9)\n </td>\n <td>\n 43.7\n </td>\n <td>\n 8.3\n </td>\n <td>\n ND (2.9)\n </td>\n <td>\n 8.5\n </td>\n <td>\n 9.2\n </td>\n <td>\n ND (2.9)\n </td>\n <td>\n ND (41.7)\n </td>\n <td>\n 195\n </td>\n </tr>\n <tr>\n <td>\n Wieners\n </td>\n <td>\n 32.9\n </td>\n <td>\n ND (0.3)\n </td>\n <td>\n ND (1.5)\n </td>\n <td>\n 386\n </td>\n <td>\n 1.4\n </td>\n <td>\n ND (0.2)\n </td>\n <td>\n 11.1\n </td>\n <td>\n 703\n </td>\n <td>\n 53.9\n </td>\n <td>\n 7.2\n </td>\n <td>\n 106\n </td>\n <td>\n 49.8\n </td>\n <td>\n 14.3\n </td>\n <td>\n ND (28.7)\n </td>\n <td>\n 1,348b\n </td>\n </tr>\n <tr>\n <td>\n Mean\n </td>\n <td>\n 26.3\n </td>\n <td>\n 0.76\n </td>\n <td>\n 4.59\n </td>\n <td>\n 93.2\n </td>\n <td>\n 1.19\n </td>\n <td>\n 0.83\n </td>\n <td>\n 4.93\n </td>\n <td>\n 157\n </td>\n <td>\n 22.7\n </td>\n <td>\n 2.33\n </td>\n <td>\n 21.1\n </td>\n <td>\n 14\n </td>\n <td>\n 10.1\n </td>\n <td>\n 53.3\n </td>\n <td>\n 383\n </td>\n </tr>\n <tr>\n <td>\n Median\n </td>\n <td>\n 24.1\n </td>\n <td>\n 0.66\n </td>\n <td>\n 1.03\n </td>\n <td>\n 39.4\n </td>\n <td>\n 1.08\n </td>\n <td>\n 0.57\n </td>\n <td>\n 2.62\n </td>\n <td>\n 42\n </td>\n <td>\n 7.57\n </td>\n <td>\n 1.37\n </td>\n <td>\n 7.68\n </td>\n <td>\n 5.63\n </td>\n <td>\n 5.83\n </td>\n <td>\n 38.1\n </td>\n <td>\n 190\n </td>\n </tr>\n <tr>\n <td>\n Minimum\n </td>\n <td>\n 4.87\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.24\n </td>\n <td>\n 6.93\n </td>\n <td>\n 0.21\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.36\n </td>\n <td>\n 7.79\n </td>\n <td>\n 1.39\n </td>\n <td>\n 0.16\n </td>\n <td>\n 0.53\n </td>\n <td>\n 0.44\n </td>\n <td>\n 0.86\n </td>\n <td>\n 5.53\n </td>\n <td>\n 39\n </td>\n </tr>\n <tr>\n <td>\n Maximum\n </td>\n <td>\n 75.1\n </td>\n <td>\n 2.62\n </td>\n <td>\n 59.7\n </td>\n <td>\n 387\n </td>\n <td>\n 2.74\n </td>\n <td>\n 2.62\n </td>\n <td>\n 16.8\n </td>\n <td>\n 703\n </td>\n <td>\n 121\n </td>\n <td>\n 7.28\n </td>\n <td>\n 106\n </td>\n <td>\n 55.3\n </td>\n <td>\n 36.8\n </td>\n <td>\n 245\n </td>\n <td>\n 1,426\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Group\n \n </td>\n <td>\n \n n\n \n </td>\n <td>\n \n Age (yrs)\n \n </td>\n <td>\n \n Age range\n \n </td>\n <td>\n \n PMI (hrs)\n \n </td>\n <td>\n \n PMI range (hrs)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n YN\n </td>\n <td>\n 11–13\n </td>\n <td>\n 43.2 ± 1.9\n <sup>\n a\n </sup>\n </td>\n <td>\n 24–53\n </td>\n <td>\n 15.8 ± 2.0\n </td>\n <td>\n 3.0–24.0\n </td>\n </tr>\n <tr>\n <td>\n AN\n </td>\n <td>\n 24–28\n </td>\n <td>\n 83.7 ± 2.1\n </td>\n <td>\n 66–104\n </td>\n <td>\n 10.8 ± 1.4\n </td>\n <td>\n 0.3–23.0\n </td>\n </tr>\n <tr>\n <td>\n PD\n </td>\n <td>\n 19–20\n </td>\n <td>\n 80.2 ± 2.1\n </td>\n <td>\n 66–91\n </td>\n <td>\n 11.2 ± 2.3\n </td>\n <td>\n 2.0–29.0\n </td>\n </tr>\n <tr>\n <td>\n AD\n </td>\n <td>\n 12–13\n </td>\n <td>\n 76.8 ± 1.9\n </td>\n <td>\n 61–83\n </td>\n <td>\n 7.4 ± 1.6\n </td>\n <td>\n 3.0–23.3\n </td>\n </tr>\n <tr>\n <td>\n DLB\n </td>\n <td>\n 9\n </td>\n <td>\n 78.3 ± 1.9\n </td>\n <td>\n 70–86\n </td>\n <td>\n 8.9 ± 2.0\n </td>\n <td>\n 1.6–16.3\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n *Population\n \n </td>\n <td colspan=\"2\">\n \n Study participants\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Oral health status\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n (95% CI)\n </td>\n </tr>\n <tr>\n <td>\n Number of teeth – mean\n </td>\n <td>\n 26.9\n </td>\n <td>\n 25.4\n </td>\n <td>\n (25.0–25.8)\n </td>\n </tr>\n <tr>\n <td>\n Denture (upper jaw) – %\n </td>\n <td>\n 13.7\n </td>\n <td>\n 13.5\n </td>\n <td>\n (11.4–15.7)\n </td>\n </tr>\n <tr>\n <td>\n Denture (lower jaw) – %\n </td>\n <td>\n 5.8\n </td>\n <td>\n 6.4\n </td>\n <td>\n (4.7–7.9)\n </td>\n </tr>\n <tr>\n <td>\n \n Dental visit pattern\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Last dental visit <12 months – %\n </td>\n <td>\n 65.4\n </td>\n <td>\n 61.5\n </td>\n <td>\n (58.4–64.5)\n </td>\n </tr>\n <tr>\n <td>\n Check-up at last dental visit – %\n </td>\n <td>\n 41.7\n </td>\n <td>\n 42.8\n </td>\n <td>\n (39.7–45.9)\n </td>\n </tr>\n <tr>\n <td>\n Number of dental visits in last 12 months – mean\n </td>\n <td>\n 1.8\n </td>\n <td>\n 1.5\n </td>\n <td>\n (1.4–1.7)\n </td>\n </tr>\n <tr>\n <td>\n Visited private at last dental visit – %\n </td>\n <td>\n 95.2\n </td>\n <td>\n 86.4\n </td>\n <td>\n (84.3–88.6)\n </td>\n </tr>\n <tr>\n <td>\n \n Socio-demographics\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Female sex – %\n </td>\n <td>\n 51.2\n </td>\n <td>\n 52.9\n </td>\n <td>\n (49.8–56.0)\n </td>\n </tr>\n <tr>\n <td>\n Australian born – %\n </td>\n <td>\n 70.8\n </td>\n <td>\n 71.3\n </td>\n <td>\n (68.4–74.2)\n </td>\n </tr>\n <tr>\n <td>\n Indigenous – %\n </td>\n <td>\n 1.3\n </td>\n <td>\n 0.4\n </td>\n <td>\n (0–6.8)\n </td>\n </tr>\n <tr>\n <td>\n English main language at home – %\n </td>\n <td>\n 91.9\n </td>\n <td>\n 95.4\n </td>\n <td>\n (94.1–96.7)\n </td>\n </tr>\n <tr>\n <td>\n \n Socio-economic status\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Concession card holder – %\n </td>\n <td>\n 15.4\n </td>\n <td>\n 18.0\n </td>\n <td>\n (15.6–20.4)\n </td>\n </tr>\n <tr>\n <td>\n Household income $80,000+ – %\n </td>\n <td>\n 24.5\n </td>\n <td>\n 23.9\n </td>\n <td>\n (21.2–26.7)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"5\">\n \n General Practitioners\n \n </td>\n <td colspan=\"5\">\n \n lay persons\n \n </td>\n <td>\n \n P\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n disagree\n \n </td>\n <td>\n \n rather disagree\n \n </td>\n <td>\n \n undecided\n \n </td>\n <td>\n \n rather agree\n \n </td>\n <td>\n \n agree\n \n </td>\n <td>\n \n disagree\n \n </td>\n <td>\n \n rather disagree\n \n </td>\n <td>\n \n undecided\n \n </td>\n <td>\n \n rather agree\n \n </td>\n <td>\n \n agree\n \n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1. Antipsychotic drug treatment is the most effective way to treat mental illness\n </td>\n <td>\n 7.1\n </td>\n <td>\n 4\n </td>\n <td>\n 33.3\n </td>\n <td>\n 29.3\n </td>\n <td>\n 26.3\n </td>\n <td>\n 9\n </td>\n <td>\n 17.7\n </td>\n <td>\n 37.1\n </td>\n <td>\n 26.5\n </td>\n <td>\n 9.7\n </td>\n <td>\n ***\n </td>\n </tr>\n <tr>\n <td>\n 2. Antipsychotic drug treatment carries a high risk of dependency\n </td>\n <td>\n 45\n </td>\n <td>\n 35\n </td>\n <td>\n 12\n </td>\n <td>\n 3\n </td>\n <td>\n 5\n </td>\n <td>\n 3.7\n </td>\n <td>\n 14\n </td>\n <td>\n 27.8\n </td>\n <td>\n 33.6\n </td>\n <td>\n 20.9\n </td>\n <td>\n ***\n </td>\n </tr>\n <tr>\n <td>\n 3. The benefits of antipsychotic drug treatment far outweighs the risk associated with it\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 13\n </td>\n <td>\n 36\n </td>\n <td>\n 50\n </td>\n <td>\n 2.9\n </td>\n <td>\n 12\n </td>\n <td>\n 40.1\n </td>\n <td>\n 32.9\n </td>\n <td>\n 12.1\n </td>\n <td>\n ***\n </td>\n </tr>\n <tr>\n <td>\n 4. Treatment with antipsychotic drugs can only calm patients down\n </td>\n <td>\n 68.7\n </td>\n <td>\n 19.2\n </td>\n <td>\n 6\n </td>\n <td>\n 5.1\n </td>\n <td>\n 1\n </td>\n <td>\n 15.2\n </td>\n <td>\n 20\n </td>\n <td>\n 28.2\n </td>\n <td>\n 24.8\n </td>\n <td>\n 11.7\n </td>\n <td>\n ***\n </td>\n </tr>\n <tr>\n <td>\n 5. In the long run antipsychotic drugs make one even more ill than before\n </td>\n <td>\n 69\n </td>\n <td>\n 23\n </td>\n <td>\n 7\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 15\n </td>\n <td>\n 29.7\n </td>\n <td>\n 29.3\n </td>\n <td>\n 17.2\n </td>\n <td>\n 8.8\n </td>\n <td>\n ***\n </td>\n </tr>\n <tr>\n <td>\n 6. Mentally ill people are only tolerable for their relatives due to antipsychotic drug treatment\n </td>\n <td>\n 3\n </td>\n <td>\n 1\n </td>\n <td>\n 17.2\n </td>\n <td>\n 40.4\n </td>\n <td>\n 38.4\n </td>\n <td>\n 2.4\n </td>\n <td>\n 9\n </td>\n <td>\n 29.3\n </td>\n <td>\n 42.8\n </td>\n <td>\n 16.5\n </td>\n <td>\n ***\n </td>\n </tr>\n <tr>\n <td>\n 7. Since the introduction of antipsychotic drugs, the duration of stay in psychiatric hospitals has become much shorter\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 24.2\n </td>\n <td>\n 75.8\n </td>\n <td>\n 2.6\n </td>\n <td>\n 9.9\n </td>\n <td>\n 22.7\n </td>\n <td>\n 45.6\n </td>\n <td>\n 19.2\n </td>\n <td>\n ***\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Characteristic\n \n </td>\n <td>\n \n Total Group\n \n </td>\n <td>\n \n Control Group(n = 34)\n \n </td>\n <td>\n \n Decision Aid Group(n = 41)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Mean age (SD)\n </td>\n <td>\n 53 (9)\n </td>\n <td>\n 53 (11)\n </td>\n <td>\n 53 (8)\n </td>\n </tr>\n <tr>\n <td>\n Female\n </td>\n <td>\n 59%\n </td>\n <td>\n 59%\n </td>\n <td>\n 59%\n </td>\n </tr>\n <tr>\n <td>\n Race:\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n White\n </td>\n <td>\n 73%\n </td>\n <td>\n 76%\n </td>\n <td>\n 71%\n </td>\n </tr>\n <tr>\n <td>\n Black\n </td>\n <td>\n 23%\n </td>\n <td>\n 21%\n </td>\n <td>\n 24%\n </td>\n </tr>\n <tr>\n <td>\n Education:\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n At least some college\n </td>\n <td>\n 66%\n </td>\n <td>\n 71%\n </td>\n <td>\n 63%\n </td>\n </tr>\n <tr>\n <td>\n Good self-perceived health status\n </td>\n <td>\n 67%\n </td>\n <td>\n 68%\n </td>\n <td>\n 66%\n </td>\n </tr>\n <tr>\n <td>\n CHD Risk Factors\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n BP > 140/90\n </td>\n <td>\n 39%\n </td>\n <td>\n 47%\n </td>\n <td>\n 31%\n </td>\n </tr>\n <tr>\n <td>\n TC/HDL ratio > 4\n </td>\n <td>\n 43%\n </td>\n <td>\n 38%\n </td>\n <td>\n 46%\n </td>\n </tr>\n <tr>\n <td>\n Smoker\n </td>\n <td>\n 39%\n </td>\n <td>\n 29%\n </td>\n <td>\n 46%\n </td>\n </tr>\n <tr>\n <td>\n Diabetes\n </td>\n <td>\n 8%\n </td>\n <td>\n 6%\n </td>\n <td>\n 10%\n </td>\n </tr>\n <tr>\n <td>\n Family History of CHD (age < 55)\n </td>\n <td>\n 31%\n </td>\n <td>\n 26%\n </td>\n <td>\n 34%\n </td>\n </tr>\n <tr>\n <td>\n Actual CHD risk\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 0–5%\n </td>\n <td>\n 43%\n </td>\n <td>\n 53%\n </td>\n <td>\n 34%\n </td>\n </tr>\n <tr>\n <td>\n 6–10%\n </td>\n <td>\n 25%\n </td>\n <td>\n 21%\n </td>\n <td>\n 27%\n </td>\n </tr>\n <tr>\n <td>\n 10–20%\n </td>\n <td>\n 24%\n </td>\n <td>\n 21%\n </td>\n <td>\n 29%\n </td>\n </tr>\n <tr>\n <td>\n > 20%\n </td>\n <td>\n 5%\n </td>\n <td>\n 3%\n </td>\n <td>\n 7%\n </td>\n </tr>\n <tr>\n <td>\n Current CHD Interventions:\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Blood pressure med\n </td>\n <td>\n 40%\n </td>\n <td>\n 38%\n </td>\n <td>\n 41%\n </td>\n </tr>\n <tr>\n <td>\n Cholesterol med\n </td>\n <td>\n 19%\n </td>\n <td>\n 21%\n </td>\n <td>\n 17%\n </td>\n </tr>\n <tr>\n <td>\n Smoking cessation\n </td>\n <td>\n 13%\n </td>\n <td>\n 6%\n </td>\n <td>\n 19%\n </td>\n </tr>\n <tr>\n <td>\n Aspirin\n </td>\n <td>\n 39%\n </td>\n <td>\n 32%\n </td>\n <td>\n 44%\n </td>\n </tr>\n <tr>\n <td>\n Diet low in saturated fat\n </td>\n <td>\n 48%\n </td>\n <td>\n 48%\n </td>\n <td>\n 49%\n </td>\n </tr>\n <tr>\n <td>\n Exercise regularly\n </td>\n <td>\n 51%\n </td>\n <td>\n 41%\n </td>\n <td>\n 59%\n </td>\n </tr>\n <tr>\n <td>\n # of Possible Intervention Options for CHD risk*:\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 0\n </td>\n <td>\n 22%\n </td>\n <td>\n 24%\n </td>\n <td>\n 20%\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 23%\n </td>\n <td>\n 21%\n </td>\n <td>\n 25%\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 34%\n </td>\n <td>\n 42%\n </td>\n <td>\n 28%\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 15%\n </td>\n <td>\n 9%\n </td>\n <td>\n 20%\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n 5%\n </td>\n <td>\n 3%\n </td>\n <td>\n 8%\n </td>\n </tr>\n <tr>\n <td>\n Any Planned intervention, reasonable plans\n </td>\n <td>\n 68%\n </td>\n <td>\n 68%\n </td>\n <td>\n 68%\n </td>\n </tr>\n <tr>\n <td>\n Any Planned intervention, best evidence interventions only*\n </td>\n <td>\n 56%\n </td>\n <td>\n 63%\n </td>\n <td>\n 51%\n </td>\n </tr>\n <tr>\n <td>\n Preferred participation in decision making about CHD:\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n I decide\n </td>\n <td>\n 12%\n </td>\n <td>\n 9%\n </td>\n <td>\n 15%\n </td>\n </tr>\n <tr>\n <td>\n I decide, consider MD opinion\n </td>\n <td>\n 29%\n </td>\n <td>\n 26%\n </td>\n <td>\n 32%\n </td>\n </tr>\n <tr>\n <td>\n Share decision\n </td>\n <td>\n 44%\n </td>\n <td>\n 50%\n </td>\n <td>\n 39%\n </td>\n </tr>\n <tr>\n <td>\n MD decides, considers my opinon\n </td>\n <td>\n 7%\n </td>\n <td>\n 9%\n </td>\n <td>\n 5%\n </td>\n </tr>\n <tr>\n <td>\n MD decides\n </td>\n <td>\n 7%\n </td>\n <td>\n 6%\n </td>\n <td>\n 7%\n </td>\n </tr>\n <tr>\n <td>\n Comfort using computer\n </td>\n <td>\n 24%\n </td>\n <td>\n 24%\n </td>\n <td>\n 25%\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"4\">\n \n postoperative SIB-IMRT schedules\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n n patients\n \n </td>\n <td>\n \n PTV1\n \n </td>\n <td>\n \n PTV2\n \n </td>\n <td>\n \n PTD PTV1/PTV2 (Gy)\n \n </td>\n <td>\n \n fractionation\n \n </td>\n <td>\n \n TRT (days)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n 47\n \n </td>\n <td>\n 30–35 × 2.0 Gy\n </td>\n <td>\n 30–35 × 1.64–1.8 Gy\n </td>\n <td>\n 60–70/48–56\n </td>\n <td>\n 5/w\n </td>\n <td>\n 38–47\n </td>\n </tr>\n <tr>\n <td>\n \n 16\n \n </td>\n <td>\n 30–33 × 2.11 Gy\n </td>\n <td>\n 30–33 × 1.64 Gy\n </td>\n <td>\n 63.3–69.6/49.2–54\n </td>\n <td>\n 5/w\n </td>\n <td>\n 40–45\n </td>\n </tr>\n <tr>\n <td>\n \n 7\n \n </td>\n <td>\n 27–30 × 2.2\n </td>\n <td>\n 27–30 × 1.8 Gy\n </td>\n <td>\n 59.4–66/48.6–54\n </td>\n <td>\n 5/w\n </td>\n <td>\n 37–40\n </td>\n </tr>\n <tr>\n <td>\n \n 1\n \n </td>\n <td>\n 27 × 2.3 (LN), 2.2 Gy\n </td>\n <td>\n 27 × 1.8 Gy\n </td>\n <td>\n 62.1, 59.4/48.6\n </td>\n <td>\n 5/w\n </td>\n <td>\n 37\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Variable\n \n </td>\n <td colspan=\"4\">\n \n % Abnormal\n \n </td>\n <td>\n \n Chi-square\n \n </td>\n <td>\n \n P\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Group*\n \n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 3\n </td>\n <td>\n 4\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n N\n \n </td>\n <td>\n 46\n </td>\n <td>\n 17\n </td>\n <td>\n 37\n </td>\n <td>\n 44\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Epicantus\n \n </td>\n <td>\n 10.9\n </td>\n <td>\n 23.5\n </td>\n <td>\n 24.3\n </td>\n <td>\n 31.0\n </td>\n <td>\n 5.65\n </td>\n <td>\n 0.130\n </td>\n </tr>\n <tr>\n <td>\n \n Low set ears\n \n </td>\n <td>\n 35.6\n </td>\n <td>\n 29.4\n </td>\n <td>\n 30.6\n </td>\n <td>\n 17.9\n </td>\n <td>\n 2.85\n </td>\n <td>\n 0.415\n </td>\n </tr>\n <tr>\n <td>\n \n Adherent earlobes\n \n </td>\n <td>\n 26.2\n </td>\n <td>\n 31.3\n </td>\n <td>\n 33.3\n </td>\n <td>\n 65.1\n </td>\n <td>\n 13.94\n </td>\n <td>\n \n 0.003\n \n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 2\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.37\n </td>\n <td>\n 0.543\n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 3\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.86\n </td>\n <td>\n 0.353\n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 4\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 12.59\n </td>\n <td>\n \n 0.0004\n \n </td>\n </tr>\n <tr>\n <td>\n \n Malformed ears\n \n </td>\n <td>\n 9.1\n </td>\n <td>\n 0.0\n </td>\n <td>\n 8.1\n </td>\n <td>\n 2.3\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Palatal abnormalities\n \n </td>\n <td>\n 48.6\n </td>\n <td>\n 41.7\n </td>\n <td>\n 36.0\n </td>\n <td>\n 96.3\n </td>\n <td>\n 19.13\n </td>\n <td>\n \n 0.0003\n \n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 2\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.10\n </td>\n <td>\n 0.750\n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 3\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.69\n </td>\n <td>\n 0.407\n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 4\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 15.29\n </td>\n <td>\n \n 0.0001\n \n </td>\n </tr>\n <tr>\n <td>\n \n Tongue abnormalities\n \n </td>\n <td>\n 10.3\n </td>\n <td>\n 11.1\n </td>\n <td>\n 17.9\n </td>\n <td>\n 19.5\n </td>\n <td>\n 1.71\n </td>\n <td>\n 0.635\n </td>\n </tr>\n <tr>\n <td>\n \n 5\n \n <sup>\n \n th\n \n </sup>\n \n finger variations\n \n </td>\n <td>\n 17.8\n </td>\n <td>\n 25.0\n </td>\n <td>\n 21.6\n </td>\n <td>\n 18.6\n </td>\n <td>\n 0.35\n </td>\n <td>\n 0.950\n </td>\n </tr>\n <tr>\n <td>\n \n Transverse palmar crease\n \n </td>\n <td>\n 2.2\n </td>\n <td>\n 0.0\n </td>\n <td>\n 2.8\n </td>\n <td>\n 7.0\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Third toe abnormalities\n \n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Syndactalia\n \n </td>\n <td>\n 19.6\n </td>\n <td>\n 6.3\n </td>\n <td>\n 25.0\n </td>\n <td>\n 18.6\n </td>\n <td>\n 3.86\n </td>\n <td>\n 0.277\n </td>\n </tr>\n <tr>\n <td>\n \n Asymmetrical ears\n \n </td>\n <td>\n 9.1\n </td>\n <td>\n 17.7\n </td>\n <td>\n 32.4\n </td>\n <td>\n 2.3\n </td>\n <td>\n 12.68\n </td>\n <td>\n \n 0.005\n \n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 2\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.64\n </td>\n <td>\n 0.422\n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 3\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 6.51\n </td>\n <td>\n \n 0.011\n \n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 4\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 2.25\n </td>\n <td>\n 0.133\n </td>\n </tr>\n <tr>\n <td>\n \n Gap between toes\n \n </td>\n <td>\n 31.1\n </td>\n <td>\n 20.0\n </td>\n <td>\n 5.6\n </td>\n <td>\n 7.0\n </td>\n <td>\n 7.43\n </td>\n <td>\n 0.059\n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 2\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.55\n </td>\n <td>\n 0.460\n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 3\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 6.16\n </td>\n <td>\n \n 0.013\n \n </td>\n </tr>\n <tr>\n <td>\n \n sSibs vs grp 4\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 5.52\n </td>\n <td>\n \n 0.019\n \n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Protein name\n \n </td>\n <td>\n \n Gene name\n \n </td>\n <td>\n \n Size in amino acids\n \n </td>\n <td>\n \n Class\n \n </td>\n <td>\n \n No. of introns\n \n </td>\n <td>\n \n Chr.\n \n </td>\n <td>\n \n Gene accession (GeneBank)\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n Protein accession (GenBank)\n <sup>\n b\n </sup>\n \n </td>\n <td>\n \n dictyBaseID (DDB...)\n \n </td>\n <td>\n \n References\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Myo1A\n </td>\n <td>\n \n myoA\n \n </td>\n <td>\n 994\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 3\n </td>\n <td>\n S73909AAFI01000066\n </td>\n <td>\n AAB20711EAL67246\n </td>\n <td>\n 0215392\n </td>\n <td>\n [27]\n </td>\n </tr>\n <tr>\n <td>\n Myo1B\n </td>\n <td>\n \n myoB\n \n </td>\n <td>\n 1111\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 5\n </td>\n <td>\n M26037AAFI01000196\n </td>\n <td>\n AAA33229EAL62866\n </td>\n <td>\n 0191351\n </td>\n <td>\n [48]\n </td>\n </tr>\n <tr>\n <td>\n Myo1C\n </td>\n <td>\n \n myoC\n \n </td>\n <td>\n 1181\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n L35323AAFI01000039\n </td>\n <td>\n AAC37427EAL69121\n </td>\n <td>\n 0215355\n </td>\n <td>\n [49]\n </td>\n </tr>\n <tr>\n <td>\n Myo1D\n </td>\n <td>\n \n myoD\n \n </td>\n <td>\n 1113\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n L16509AAFI01000030\n </td>\n <td>\n P34109EAL69474\n </td>\n <td>\n 0191347\n </td>\n <td>\n [50]\n </td>\n </tr>\n <tr>\n <td>\n Myo1E\n </td>\n <td>\n \n myoE\n \n </td>\n <td>\n 1003\n </td>\n <td>\n 1\n </td>\n <td>\n 3\n </td>\n <td>\n 5\n </td>\n <td>\n L06805AAFI01000183\n </td>\n <td>\n AAA33201EAL63071\n </td>\n <td>\n 0216200\n </td>\n <td>\n [51]\n </td>\n </tr>\n <tr>\n <td>\n Myo1F\n </td>\n <td>\n \n myoF\n \n </td>\n <td>\n 1071\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 5\n </td>\n <td>\n AAFI01000198\n </td>\n <td>\n EAL62822\n </td>\n <td>\n 0220021\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Myo1G\n </td>\n <td>\n \n myoK\n \n </td>\n <td>\n 858\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n AF090534AAFI01000027\n </td>\n <td>\n AAD47904EAL70180\n </td>\n <td>\n 0185086\n </td>\n <td>\n [52, 53]\n </td>\n </tr>\n <tr>\n <td>\n MhcA\n </td>\n <td>\n \n mhcA\n \n </td>\n <td>\n 2116\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 4\n </td>\n <td>\n M11938AAFI01000135\n </td>\n <td>\n AAA33227EAL64202\n </td>\n <td>\n 0191444\n </td>\n <td>\n [54]\n </td>\n </tr>\n <tr>\n <td>\n Myo5A\n </td>\n <td>\n \n myoH\n \n </td>\n <td>\n 1771\n </td>\n <td>\n 5\n </td>\n <td>\n 3\n </td>\n <td>\n 5\n </td>\n <td>\n AAFI01000209\n </td>\n <td>\n EAL62703\n </td>\n <td>\n 0188441\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Myo5B\n </td>\n <td>\n \n myoJ\n \n </td>\n <td>\n 2249\n </td>\n <td>\n 5\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n U42409AAFI01000020\n </td>\n <td>\n AAA85186EAL71208\n </td>\n <td>\n 0185050\n </td>\n <td>\n [12, 13]\n </td>\n </tr>\n <tr>\n <td>\n MyoG\n </td>\n <td>\n \n myoG\n \n </td>\n <td>\n 3446\n </td>\n <td>\n n.c.\n </td>\n <td>\n 3\n </td>\n <td>\n 2\n </td>\n <td>\n AAFI01000034\n </td>\n <td>\n EAL69262\n </td>\n <td>\n 0167014\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n MyoI\n </td>\n <td>\n \n myoI\n \n </td>\n <td>\n 2357\n </td>\n <td>\n n.c.\n </td>\n <td>\n 3\n </td>\n <td>\n 2\n </td>\n <td>\n L35321AAFI01000027\n </td>\n <td>\n AAF06035EAL70120\n </td>\n <td>\n 0185049\n </td>\n <td>\n [11]\n </td>\n </tr>\n <tr>\n <td>\n MyoM\n </td>\n <td>\n \n myoM\n \n </td>\n <td>\n 1737\n </td>\n <td>\n n.c.\n </td>\n <td>\n 2\n </td>\n <td>\n 6\n </td>\n <td>\n AF090533AAFI01000267\n </td>\n <td>\n AAD47903EAL61255\n </td>\n <td>\n 0191100\n </td>\n <td>\n [53, 55]\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"2\">\n \n INTERNET\n \n </td>\n <td colspan=\"2\">\n \n TELEVISION\n \n </td>\n <td colspan=\"2\">\n \n CONSOLE VIDEO GAMES\n \n </td>\n <td colspan=\"2\">\n \n INTERNET VIDEO GAMES\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n < 1 hour\n \n </td>\n <td>\n \n ≥ 1 hour\n \n </td>\n <td>\n \n < 1 hour\n \n </td>\n <td>\n \n ≥ 1 hour\n \n </td>\n <td>\n \n < 1 hour\n \n </td>\n <td>\n \n ≥ 1 hour\n \n </td>\n <td>\n \n < 1 hour\n \n </td>\n <td>\n \n ≥ 1 hour\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Last Grade in Math\n \n </td>\n <td>\n Mean\n </td>\n <td>\n 3.422\n </td>\n <td>\n 3.308\n </td>\n <td>\n 3.306\n </td>\n <td>\n 3.383\n </td>\n <td>\n 3.393\n </td>\n <td>\n 3.132\n </td>\n <td>\n 3.37\n </td>\n <td>\n 3.259\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n ± 0.689\n </td>\n <td>\n ± 0.748\n </td>\n <td>\n ± 0.687\n </td>\n <td>\n ± 0.744\n </td>\n <td>\n ± 0.706\n </td>\n <td>\n ± 0.805\n </td>\n <td>\n ± 0.705\n </td>\n <td>\n ± 0.863\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n p-value\n </td>\n <td>\n 0.547\n </td>\n <td>\n </td>\n <td>\n 0.422\n </td>\n <td>\n </td>\n <td>\n 0.255\n </td>\n <td>\n </td>\n <td>\n 0.754\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Last Grade in English\n \n </td>\n <td>\n Mean\n </td>\n <td>\n 3.263\n </td>\n <td>\n 3.201\n </td>\n <td>\n 3.217\n </td>\n <td>\n 3.232\n </td>\n <td>\n 3.254\n </td>\n <td>\n 3.067\n </td>\n <td>\n 3.267\n </td>\n <td>\n 2.963\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n ± 0.721\n </td>\n <td>\n ± 0.662\n </td>\n <td>\n ± 0.608\n </td>\n <td>\n ± 0.723\n </td>\n <td>\n ± 0.659\n </td>\n <td>\n ± 0.829\n </td>\n <td>\n ± 0.638\n </td>\n <td>\n ± 0.934\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n p-value\n </td>\n <td>\n 0.545\n </td>\n <td>\n </td>\n <td>\n 0.727\n </td>\n <td>\n </td>\n <td>\n 0.545\n </td>\n <td>\n </td>\n <td>\n 0.395\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Overall Grade Point Average\n \n </td>\n <td>\n Mean\n </td>\n <td>\n 3.686\n </td>\n <td>\n 3.523\n </td>\n <td>\n 3.626\n </td>\n <td>\n 3.567\n </td>\n <td>\n \n 3.668\n \n </td>\n <td>\n \n 3.002\n \n </td>\n <td>\n \n 3.668\n \n </td>\n <td>\n \n 3.00\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n ± 0.392\n </td>\n <td>\n ± 0.494\n </td>\n <td>\n ± 0.438\n </td>\n <td>\n ± 0.475\n </td>\n <td>\n ± 0.341\n </td>\n <td>\n ± 0.762\n </td>\n <td>\n ± 0.356\n </td>\n <td>\n ± 0.701\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n p-value\n </td>\n <td>\n 0.190\n </td>\n <td>\n </td>\n <td>\n 0.735\n </td>\n <td>\n </td>\n <td>\n \n 0.019\n \n </td>\n <td>\n </td>\n <td>\n \n 0.009\n \n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Authors\n \n </td>\n <td>\n \n No. of Subjects\n \n </td>\n <td>\n \n Test\n \n </td>\n <td>\n \n Sensitivity (%)\n \n </td>\n <td>\n \n Specificity (%)\n \n </td>\n <td>\n \n QUADAS Score\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Mens et al [19]\n </td>\n <td>\n 200\n </td>\n <td>\n ASLR\n </td>\n <td>\n 87\n </td>\n <td>\n 94\n </td>\n <td>\n 9\n </td>\n </tr>\n <tr>\n <td>\n Albert et al [28]\n </td>\n <td>\n 2269\n </td>\n <td>\n Pelvic Pain Provocation\n </td>\n <td>\n 71\n </td>\n <td>\n 98\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Fabere\n </td>\n <td>\n 48\n </td>\n <td>\n 99\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SI Compression\n </td>\n <td>\n 37\n </td>\n <td>\n 100\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n SI Gapping\n </td>\n <td>\n 18\n </td>\n <td>\n 100\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Cause\n \n </td>\n <td>\n \n DALY (%)\n \n </td>\n <td>\n \n YLD (%)\n \n </td>\n <td>\n \n YLL (%)\n \n </td>\n <td>\n \n Death (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1\n </td>\n <td>\n Ischaemic heart disease\n </td>\n <td>\n 1,958 (11.0)\n </td>\n <td>\n 152 (2.1)\n </td>\n <td>\n 1,806(17.2)\n </td>\n <td>\n 287 (24.7)\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n Road traffic accidents\n </td>\n <td>\n 934 (5.2)\n </td>\n <td>\n 233 (3.2)\n </td>\n <td>\n 701 (6.7)\n </td>\n <td>\n 29 (2.5)\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n Lung trachea or bronchial cancer\n </td>\n <td>\n 813 (4.6)\n </td>\n <td>\n 35 (0.5)\n </td>\n <td>\n 778 (7.4)\n </td>\n <td>\n 102 (8.8)\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n HIV/AIDS\n </td>\n <td>\n 764 (4.3)\n </td>\n <td>\n 189 (2.6)\n </td>\n <td>\n 575 (5.5)\n </td>\n <td>\n 25 (2.2)\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n Alcohol use\n </td>\n <td>\n 732 (4.1)\n </td>\n <td>\n 651 (8.9)\n </td>\n <td>\n 81 (0.8)\n </td>\n <td>\n 5 (0.4)\n </td>\n </tr>\n <tr>\n <td>\n 6\n </td>\n <td>\n Cerebrovascular Disease\n </td>\n <td>\n 674 (3.8)\n </td>\n <td>\n 317 (4.3)\n </td>\n <td>\n 357 (3.4)\n </td>\n <td>\n 63 (5.4)\n </td>\n </tr>\n <tr>\n <td>\n 7\n </td>\n <td>\n COPD\n </td>\n <td>\n 642 (3.6)\n </td>\n <td>\n 373 (5.1)\n </td>\n <td>\n 269 (2.6)\n </td>\n <td>\n 52 (4.5)\n </td>\n </tr>\n <tr>\n <td>\n 8\n </td>\n <td>\n Homicide and Violence\n </td>\n <td>\n 568 (3.2)\n </td>\n <td>\n 82 (1.1)\n </td>\n <td>\n 486 (4.6)\n </td>\n <td>\n 17 (1.5)\n </td>\n </tr>\n <tr>\n <td>\n 9\n </td>\n <td>\n Self-inflicted injuries\n </td>\n <td>\n 541 (3.0)\n </td>\n <td>\n 8 (0.1)\n </td>\n <td>\n 534 (5.1)\n </td>\n <td>\n 26 (2.2)\n </td>\n </tr>\n <tr>\n <td>\n 10\n </td>\n <td>\n Unipolar major depression\n </td>\n <td>\n 470 (2.6)\n </td>\n <td>\n 470 (6.4)\n </td>\n <td>\n 0 (0.0)\n </td>\n <td>\n 0 (0)\n </td>\n </tr>\n <tr>\n <td>\n 11\n </td>\n <td>\n Diabetes mellitus\n </td>\n <td>\n 442 (2.5)\n </td>\n <td>\n 222 (3.0)\n </td>\n <td>\n 220 (2.1)\n </td>\n <td>\n 28 (2.4)\n </td>\n </tr>\n <tr>\n <td>\n 12\n </td>\n <td>\n Osteoarthritis\n </td>\n <td>\n 435 (2.4)\n </td>\n <td>\n 434 (5.9)\n </td>\n <td>\n 1 (0.0)\n </td>\n <td>\n 0 (0)\n </td>\n </tr>\n <tr>\n <td>\n 13\n </td>\n <td>\n Drug use\n </td>\n <td>\n 412 (2.3)\n </td>\n <td>\n 384 (5.2)\n </td>\n <td>\n 27 (0.3)\n </td>\n <td>\n 1 (0.1)\n </td>\n </tr>\n <tr>\n <td>\n 14\n </td>\n <td>\n Congenital Abnormalities\n </td>\n <td>\n 410 (2.3)\n </td>\n <td>\n 238 (3.2)\n </td>\n <td>\n 172 (1.6)\n </td>\n <td>\n 6 (0.5)\n </td>\n </tr>\n <tr>\n <td>\n 15\n </td>\n <td>\n Dementia and other degenerative and hereditary CNS disorders\n </td>\n <td>\n 382 (2.1)\n </td>\n <td>\n 332 (4.5)\n </td>\n <td>\n 50 (0.5)\n </td>\n <td>\n 14 (1.2)\n </td>\n </tr>\n <tr>\n <td>\n 16\n </td>\n <td>\n Asthma\n </td>\n <td>\n 303 (1.7)\n </td>\n <td>\n 273 (3.7)\n </td>\n <td>\n 30 (0.3)\n </td>\n <td>\n 2 (0.2)\n </td>\n </tr>\n <tr>\n <td>\n 17\n </td>\n <td>\n Cirrhosis of the liver\n </td>\n <td>\n 281 (1.6)\n </td>\n <td>\n 61 (0.8)\n </td>\n <td>\n 220 (2.1)\n </td>\n <td>\n 17 (1.4)\n </td>\n </tr>\n <tr>\n <td>\n 18\n </td>\n <td>\n Conditions arising during the perinatal period\n </td>\n <td>\n 274 (1.5)\n </td>\n <td>\n 14 (0.2)\n </td>\n <td>\n 260 (2.5)\n </td>\n <td>\n 8 (0.7)\n </td>\n </tr>\n <tr>\n <td>\n 19\n </td>\n <td>\n Cancer colon or rectum\n </td>\n <td>\n 249 (1.4)\n </td>\n <td>\n 37 (0.5)\n </td>\n <td>\n 213 (2.0)\n </td>\n <td>\n 30 (2.6)\n </td>\n </tr>\n <tr>\n <td>\n 20\n </td>\n <td>\n Prostate cancer\n </td>\n <td>\n 239 (1.3)\n </td>\n <td>\n 79 (1.1)\n </td>\n <td>\n 160 (1.5)\n </td>\n <td>\n 37 (3.2)\n </td>\n </tr>\n <tr>\n <td>\n -\n </td>\n <td>\n Total number for each measure in the top 20 causes\n </td>\n <td>\n 11,523 (64.5)\n </td>\n <td>\n 4,584 (62.5)\n </td>\n <td>\n 6,940 (65.9)\n </td>\n <td>\n 749 (64.5)\n </td>\n </tr>\n <tr>\n <td>\n -\n </td>\n <td>\n Total number for each measure\n </td>\n <td>\n 17,861(100)\n </td>\n <td>\n 7,331(100)\n </td>\n <td>\n 10,530 (100)\n </td>\n <td>\n 1,164 (100)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"2\">\n \n Mass (g)\n <sup>\n 1\n </sup>\n \n </td>\n <td colspan=\"2\">\n \n Wing Length (mm)\n <sup>\n 1\n </sup>\n \n </td>\n <td colspan=\"2\">\n \n Mites\n <sup>\n 2\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Saline\n </td>\n <td>\n LPS\n </td>\n <td>\n Saline\n </td>\n <td>\n LPS\n </td>\n <td>\n Saline\n </td>\n <td>\n LPS\n </td>\n </tr>\n <tr>\n <td>\n Newly\n </td>\n <td>\n Males\n </td>\n <td>\n 0.328 ± 0.007\n </td>\n <td>\n 0.324 ± 0.007\n </td>\n <td>\n 12.87 ± 0.15\n </td>\n <td>\n 12.91 ± 0.11\n </td>\n <td>\n 7 (3 – 10)\n </td>\n <td>\n 4 (3 – 11)\n </td>\n </tr>\n <tr>\n <td>\n Emerged\n </td>\n <td>\n Females\n </td>\n <td>\n 0.350 ± 0.008\n </td>\n <td>\n 0.345 ± 0.008\n </td>\n <td>\n 13.81 ± 0.15\n </td>\n <td>\n 13.64 ± 0.16\n </td>\n <td>\n 4 (2 – 10)\n </td>\n <td>\n 5 (1 – 12)\n </td>\n </tr>\n <tr>\n <td>\n Mature\n </td>\n <td>\n Males\n </td>\n <td>\n 0.304 ± 0.007\n </td>\n <td>\n 0.313 ± 0.007\n </td>\n <td>\n 13.07 ± 0.11\n </td>\n <td>\n 13.14 ± 0.09\n </td>\n <td>\n 0 (0-0)\n </td>\n <td>\n 0 (0-0)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Females\n </td>\n <td>\n 0.464 ± 0.014\n </td>\n <td>\n 0.469 ± 0.010\n </td>\n <td>\n 13.79 ± 0.12\n </td>\n <td>\n 13.74 ± 0.13\n </td>\n <td>\n 0 (0-0)\n </td>\n <td>\n 0 (0-0)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Organism\n \n </td>\n <td>\n \n FLC\n \n </td>\n <td>\n \n ITC\n \n </td>\n <td>\n \n TTO\n \n </td>\n <td colspan=\"2\">\n \n TERP\n \n </td>\n <td colspan=\"2\">\n \n CIN\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n MIC mg/L\n \n </td>\n <td>\n \n MIC mg/L\n \n </td>\n <td>\n \n MIC %v/v\n \n </td>\n <td>\n \n MIC %v/v\n \n </td>\n <td>\n \n MFC %v/v\n \n </td>\n <td>\n \n MIC %v/v\n \n </td>\n <td>\n \n MFC %v/v\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n C. albicans\n \n ATCC 24433\n </td>\n <td>\n 0.25\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.25\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.125\n </td>\n <td>\n > 4.0\n </td>\n <td>\n > 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n C. albicans\n \n ATCC 76615\n </td>\n <td>\n 0.125\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.25\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.125\n </td>\n <td>\n > 4.0\n </td>\n <td>\n > 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n C. albicans\n \n ATCC 90029\n </td>\n <td>\n 0.125\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.25\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.125\n </td>\n <td>\n 4.0\n </td>\n <td>\n 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n C. albicans\n \n ATCC 10231\n </td>\n <td>\n 0.125\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.25\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.06\n </td>\n <td>\n > 4.0\n </td>\n <td>\n > 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n C. tropicalis\n \n ATCC750\n </td>\n <td>\n 1.0\n </td>\n <td>\n 0.125\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.125\n </td>\n <td>\n > 4.0\n </td>\n <td>\n > 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n C.parapsilosis\n \n ATCC 22019\n </td>\n <td>\n 2.0\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.125\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.125\n </td>\n <td>\n > 4.0\n </td>\n <td>\n > 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n C. krusei\n \n ATCC 6258\n </td>\n <td>\n 32.0\n </td>\n <td>\n 0.25\n </td>\n <td>\n 0.25\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.125\n </td>\n <td>\n > 4.0\n </td>\n <td>\n > 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n C. glabrata\n \n ATCC 90030\n </td>\n <td>\n 4.0\n </td>\n <td>\n 0.125\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.125\n </td>\n <td>\n 2.0\n </td>\n <td>\n > 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n S. cerevisiae\n \n ATCC 9763\n </td>\n <td>\n 4.0\n </td>\n <td>\n 0.25\n </td>\n <td>\n n.a.\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.125\n </td>\n <td>\n 4.0\n </td>\n <td>\n > 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n C.neoformans\n \n ATCC 90112\n </td>\n <td>\n 2.0\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.015\n </td>\n <td>\n 0.06\n </td>\n <td>\n 2.0\n </td>\n <td>\n > 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n C. neoformans\n \n ATCC 90113\n </td>\n <td>\n 4.0\n </td>\n <td>\n 0.125\n </td>\n <td>\n n.a.\n </td>\n <td>\n 0.015\n </td>\n <td>\n 0.06\n </td>\n <td>\n 1.0\n </td>\n <td>\n n.a.\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Preparations\n \n </td>\n <td>\n \n Average time used per element of work (minutes)\n \n </td>\n <td>\n \n Range\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Take out patient's details\n </td>\n <td>\n 2.1\n </td>\n <td>\n 0.0–7.0\n </td>\n </tr>\n <tr>\n <td>\n Read up on patient\n </td>\n <td>\n 2.3\n </td>\n <td>\n 0.0–10.0\n </td>\n </tr>\n <tr>\n <td>\n Go through test results\n </td>\n <td>\n 1.9\n </td>\n <td>\n 0.0–10.0\n </td>\n </tr>\n <tr>\n <td>\n Prepare patient information\n </td>\n <td>\n 2.1\n </td>\n <td>\n 0.0–18.0\n </td>\n </tr>\n <tr>\n <td>\n Contact patient prior to checkup\n </td>\n <td>\n 2.0\n </td>\n <td>\n 0.0–10.0\n </td>\n </tr>\n <tr>\n <td>\n Travel to patient\n </td>\n <td>\n 13.7\n </td>\n <td>\n 1.5–45.0\n </td>\n </tr>\n <tr>\n <td>\n \n Total time for preparations\n \n </td>\n <td>\n \n 23.9*\n \n </td>\n <td>\n \n 7.8–70.6\n \n </td>\n </tr>\n <tr>\n <td>\n \n Home visit\n \n </td>\n <td>\n \n Average time used per element of work (minutes)\n \n </td>\n <td>\n \n Range\n \n </td>\n </tr>\n <tr>\n <td>\n Discussion with patient on warfarin treatment incl. info to patient\n </td>\n <td>\n 4.8\n </td>\n <td>\n 0.0–42.0\n </td>\n </tr>\n <tr>\n <td>\n Discussion with patient on social implications\n </td>\n <td>\n 10.5\n </td>\n <td>\n 3.0–30.0\n </td>\n </tr>\n <tr>\n <td>\n Take blood sample\n </td>\n <td>\n 4.8\n </td>\n <td>\n 1.0–20.0\n </td>\n </tr>\n <tr>\n <td>\n Label and pack blood sample\n </td>\n <td>\n 3.2\n </td>\n <td>\n 0.1–15.0\n </td>\n </tr>\n <tr>\n <td>\n \n Total time for home visit\n \n </td>\n <td>\n \n 23.4*\n \n </td>\n <td>\n \n 7.1–76.5\n \n </td>\n </tr>\n <tr>\n <td>\n \n Follow-up\n \n </td>\n <td>\n \n Average time used per element of work (minutes)\n \n </td>\n <td>\n \n Range\n \n </td>\n </tr>\n <tr>\n <td>\n Travel from patient\n </td>\n <td>\n 14.1\n </td>\n <td>\n 1.5–50.0\n </td>\n </tr>\n <tr>\n <td>\n Delivery of blood sample to lab.\n </td>\n <td>\n 7.8\n </td>\n <td>\n 0.0–60.0\n </td>\n </tr>\n <tr>\n <td>\n Receive test results and new prescription\n </td>\n <td>\n 4.6\n </td>\n <td>\n 0.0–20.0\n </td>\n </tr>\n <tr>\n <td>\n Complete patient notes in computer\n </td>\n <td>\n 3.6\n </td>\n <td>\n 0.0–10.0\n </td>\n </tr>\n <tr>\n <td>\n Complete written patient notes\n </td>\n <td>\n 0.5\n </td>\n <td>\n 0.0–5.0\n </td>\n </tr>\n <tr>\n <td>\n Telephone patient regarding new prescription etc.\n </td>\n <td>\n 1.3\n </td>\n <td>\n 0.0–5.0\n </td>\n </tr>\n <tr>\n <td>\n Write reply letter to patient\n </td>\n <td>\n 0.0\n </td>\n <td>\n 0.0–1.5\n </td>\n </tr>\n <tr>\n <td>\n Travel to and from patient again\n </td>\n <td>\n 4.8\n </td>\n <td>\n 0.0–36.0\n </td>\n </tr>\n <tr>\n <td>\n Personally inform patient of new prescription etc.\n </td>\n <td>\n 1.6\n </td>\n <td>\n 0.0–7.5\n </td>\n </tr>\n <tr>\n <td>\n Divide up the Waran in dosett\n </td>\n <td>\n 2.5\n </td>\n <td>\n 0.0–15.0\n </td>\n </tr>\n <tr>\n <td>\n \n Total time for follow-up\n \n </td>\n <td>\n \n 40.8\n \n </td>\n <td>\n \n 8.0–146.1\n \n </td>\n </tr>\n <tr>\n <td>\n \n \n Total time used for one monitoring episode\n \n \n </td>\n <td>\n \n \n 88.2 minutes\n \n \n </td>\n <td>\n \n \n 38.2–231.1\n \n \n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Sociodemographic data\n \n </td>\n <td>\n \n No acupuncture (n = 1,166)\n \n </td>\n <td>\n \n Acupuncture (n = 179)\n \n </td>\n <td>\n \n p-value\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age\n </td>\n <td>\n 48.5 (CI 47–49)\n </td>\n <td>\n 51 (CI 49–53)\n </td>\n <td>\n < .01\n </td>\n </tr>\n <tr>\n <td>\n Age in age groups (n = 1,199)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n < 40 years\n </td>\n <td>\n 308 (30 %)\n </td>\n <td>\n 40 (24 %)\n </td>\n <td>\n < .02\n </td>\n </tr>\n <tr>\n <td>\n 40–60 years\n </td>\n <td>\n 514 (50 %)\n </td>\n <td>\n 78 (48 %)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n > 60 years\n </td>\n <td>\n 210 (20 %)\n </td>\n <td>\n 49 (29%)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Gender\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Female\n </td>\n <td>\n 665 (57%)\n </td>\n <td>\n 116 (65 %)\n </td>\n <td>\n < .05\n </td>\n </tr>\n <tr>\n <td>\n Male\n </td>\n <td>\n 501 (43 %)\n </td>\n <td>\n 63 (35 %)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Body mass index (n = 1,246)\n </td>\n <td>\n 26.7 (CI 26–27)\n </td>\n <td>\n 26.8 (CI 26–27)\n </td>\n <td>\n n.s.\n </td>\n </tr>\n <tr>\n <td>\n \n School education\n \n (n = 1,191)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n < 10 years\n </td>\n <td>\n 428 (42 %)\n </td>\n <td>\n 72 (44 %)\n </td>\n <td>\n n.s\n </td>\n </tr>\n <tr>\n <td>\n 10 years\n </td>\n <td>\n 318 (31 %)\n </td>\n <td>\n 60 (36 %))\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n > 10 years\n </td>\n <td>\n 256 (25 %)\n </td>\n <td>\n 29 (18 %)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n other\n </td>\n <td>\n 24 (2 %)\n </td>\n <td>\n 4 (2 %)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Living with partner (n = 1,281)\n </td>\n <td>\n 783 (76 %)\n </td>\n <td>\n 121 (73 %)\n </td>\n <td>\n n.s.\n </td>\n </tr>\n <tr>\n <td>\n \n Employment status\n \n (n = 1,193)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ▪ Working full or part-time\n </td>\n <td>\n 677 (66 %)\n </td>\n <td>\n 89 (54 %)\n </td>\n <td>\n < .01\n </td>\n </tr>\n <tr>\n <td>\n ▪ Housekeeping\n </td>\n <td>\n 102 (10 %)\n </td>\n <td>\n 17 (10 %)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ▪ Retired\n </td>\n <td>\n 203 (20 %)\n </td>\n <td>\n 52 (31 %)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ▪ Unemployed\n </td>\n <td>\n 45 (4 %)\n </td>\n <td>\n 8 (5 %)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Net income\n \n (n = 1,052)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ▪ < 1,000\n </td>\n <td>\n 164 (18 %)\n </td>\n <td>\n 27 (18 %)\n </td>\n <td>\n n.s.\n </td>\n </tr>\n <tr>\n <td>\n ▪ 1,001–2,000 Euro\n </td>\n <td>\n 397 (43 %)\n </td>\n <td>\n 77 (50 %)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ▪ 2,001–3,000 Euro\n </td>\n <td>\n 248 (27 %)\n </td>\n <td>\n 38 (25 %)\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n ▪ >3,000 Euro\n </td>\n <td>\n 108 (12 %)\n </td>\n <td>\n 11 (7 %)\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Sub-Lineage**\n \n </td>\n <td colspan=\"2\">\n \n Paired genes\n \n </td>\n <td>\n \n Associated ESAT-6 (\n \n esx\n \n ) gene cluster region***\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n (PE)\n \n </td>\n <td>\n \n (PPE)\n \n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n I\n </td>\n <td>\n Rv3872\n </td>\n <td>\n Rv3873\n </td>\n <td>\n Situated in ESAT-6 (\n \n esx\n \n ) gene cluster region 1\n </td>\n </tr>\n <tr>\n <td>\n II\n </td>\n <td>\n Rv0285\n </td>\n <td>\n Rv0286\n </td>\n <td>\n Situated in ESAT-6 (\n \n esx\n \n ) gene cluster region 3\n </td>\n </tr>\n <tr>\n <td>\n II\n </td>\n <td>\n Rv3018A\n </td>\n <td>\n Rv3018c\n </td>\n <td>\n Duplicated from ESAT-6 (\n \n esx\n \n ) gene cluster region 3\n </td>\n </tr>\n <tr>\n <td>\n II\n </td>\n <td>\n Rv3022A\n </td>\n <td>\n Rv3021/22c\n </td>\n <td>\n Duplicated from ESAT-6 (\n \n esx\n \n ) gene cluster region 3\n </td>\n </tr>\n <tr>\n <td>\n II\n </td>\n <td>\n Rv1386\n </td>\n <td>\n Rv1387\n </td>\n <td>\n Associated with ESAT-6 (\n \n esx\n \n ) gene cluster region 3\n </td>\n </tr>\n <tr>\n <td>\n III\n </td>\n <td>\n Rv3893c\n </td>\n <td>\n Rv3892c\n </td>\n <td>\n Situated in ESAT-6 (\n \n esx\n \n ) gene cluster region 2\n </td>\n </tr>\n <tr>\n <td>\n III\n </td>\n <td>\n Rv2107\n </td>\n <td>\n Rv2108\n </td>\n <td>\n Associated with ESAT-6 (\n \n esx\n \n ) gene cluster region 2\n </td>\n </tr>\n <tr>\n <td>\n III or IV\n </td>\n <td>\n Rv2431c\n </td>\n <td>\n Rv2430c\n </td>\n <td>\n Associated with ESAT-6 (\n \n esx\n \n ) gene cluster region 2 or 5\n </td>\n </tr>\n <tr>\n <td>\n IV\n </td>\n <td>\n Rv1788/91\n </td>\n <td>\n Rv1787/89/90\n </td>\n <td>\n Situated in ESAT-6 (\n \n esx\n \n ) gene cluster region 5\n </td>\n </tr>\n <tr>\n <td>\n IV\n </td>\n <td>\n Rv3622c\n </td>\n <td>\n Rv3621c\n </td>\n <td>\n Duplicated from ESAT-6 (\n \n esx\n \n ) gene cluster region 5\n </td>\n </tr>\n <tr>\n <td>\n IV\n </td>\n <td>\n Rv1195\n </td>\n <td>\n Rv1196\n </td>\n <td>\n Duplicated from ESAT-6 (\n \n esx\n \n ) gene cluster region 5\n </td>\n </tr>\n <tr>\n <td>\n IV\n </td>\n <td>\n Rv1040c\n </td>\n <td>\n Rv1039c\n </td>\n <td>\n Duplicated from ESAT-6 (\n \n esx\n \n ) gene cluster region 5\n </td>\n </tr>\n <tr>\n <td>\n IV\n </td>\n <td>\n Rv1169c\n </td>\n <td>\n Rv1168c\n </td>\n <td>\n Associated with ESAT-6 (\n \n esx\n \n ) gene cluster region 5\n </td>\n </tr>\n <tr>\n <td>\n IV\n </td>\n <td>\n Rv1806\n </td>\n <td>\n Rv1801/2/7/8/9\n </td>\n <td>\n Associated with ESAT-6 (\n \n esx\n \n ) gene cluster region 5\n </td>\n </tr>\n <tr>\n <td>\n IV\n </td>\n <td>\n Rv3477\n </td>\n <td>\n Rv3478\n </td>\n <td>\n Associated with ESAT-6 (\n \n esx\n \n ) gene cluster region 5\n </td>\n </tr>\n <tr>\n <td>\n IV\n </td>\n <td>\n Rv2769c\n </td>\n <td>\n Rv2768c/70c\n </td>\n <td>\n Associated with ESAT-6 (\n \n esx\n \n ) gene cluster region 5\n </td>\n </tr>\n <tr>\n <td>\n IV\n </td>\n <td>\n Rv0916c\n </td>\n <td>\n Rv0915c\n </td>\n <td>\n Associated with ESAT-6 (\n \n esx\n \n ) gene cluster region 5\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n BPN/VPA – group\n \n </td>\n <td>\n \n CLN/CBZ – group\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Gender: Male (%)\n </td>\n <td>\n 42%\n </td>\n <td>\n 76%\n </td>\n </tr>\n <tr>\n <td>\n Mean age (range)\n </td>\n <td>\n 28 (21–41)\n </td>\n <td>\n 38 (26–44)\n </td>\n </tr>\n <tr>\n <td>\n Substance use:\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n First time heroin use (mean age)\n </td>\n <td>\n 19\n </td>\n <td>\n 18\n </td>\n </tr>\n <tr>\n <td>\n First time injected drugs (mean age)\n </td>\n <td>\n 20\n </td>\n <td>\n 18\n </td>\n </tr>\n <tr>\n <td>\n Years of heroin use (mean years)\n </td>\n <td>\n 7\n </td>\n <td>\n 18\n </td>\n </tr>\n <tr>\n <td>\n Years of BZD use (mean years)\n </td>\n <td>\n 13\n </td>\n <td>\n 19\n </td>\n </tr>\n <tr>\n <td>\n Years of cannabis use (mean years)\n </td>\n <td>\n 14\n </td>\n <td>\n 22\n </td>\n </tr>\n <tr>\n <td>\n Years of amphetamine use (mean years)\n </td>\n <td>\n 7\n </td>\n <td>\n 19\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Characteristic\n \n </td>\n <td>\n \n Exposed\n \n </td>\n <td>\n \n Unexposed\n \n </td>\n <td>\n \n All\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age at interview (years)a\n </td>\n <td>\n 33.5 ± 9.4\n </td>\n <td>\n 34.3 ± 9.9\n </td>\n <td>\n 33.9 ± 9.6\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Age (years)\n </td>\n </tr>\n <tr>\n <td>\n < 20\n </td>\n <td>\n 5 (7)\n </td>\n <td>\n 4 (6)\n </td>\n <td>\n 9 (7)\n </td>\n </tr>\n <tr>\n <td>\n 20–29\n </td>\n <td>\n 25 (34)\n </td>\n <td>\n 18 (29)\n </td>\n <td>\n 43 (31)\n </td>\n </tr>\n <tr>\n <td>\n 30–39\n </td>\n <td>\n 21 (28)\n </td>\n <td>\n 20 (32)\n </td>\n <td>\n 41 (30)\n </td>\n </tr>\n <tr>\n <td>\n 40–49\n </td>\n <td>\n 20 (27)\n </td>\n <td>\n 17 (27)\n </td>\n <td>\n 37 (27)\n </td>\n </tr>\n <tr>\n <td>\n ≥50\n </td>\n <td>\n 3 (4)\n </td>\n <td>\n 4 (6)\n </td>\n <td>\n 7 (5)\n </td>\n </tr>\n <tr>\n <td>\n Years working in current joba\n </td>\n <td>\n 1.0 ± 0.8*\n </td>\n <td>\n 2.6 ± 5.5\n </td>\n <td>\n 1.7 ± 3.8\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Marriage status\n </td>\n </tr>\n <tr>\n <td>\n Single\n </td>\n <td>\n 21 (28)\n </td>\n <td>\n 15 (24)\n </td>\n <td>\n 36 (26)\n </td>\n </tr>\n <tr>\n <td>\n Married\n </td>\n <td>\n 50 (68)\n </td>\n <td>\n 48 (76)\n </td>\n <td>\n 98 (72)\n </td>\n </tr>\n <tr>\n <td>\n Divorced\n </td>\n <td>\n 3 (4)\n </td>\n <td>\n 0\n </td>\n <td>\n 3 (2)\n </td>\n </tr>\n <tr>\n <td>\n Smoker\n </td>\n <td>\n 44 (60)\n </td>\n <td>\n 39 (62)\n </td>\n <td>\n 83 (61)\n </td>\n </tr>\n <tr>\n <td>\n Drinker\n </td>\n <td>\n 40 (54)\n </td>\n <td>\n 40 (64)\n </td>\n <td>\n 80 (58)\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n SIP score\n </td>\n </tr>\n <tr>\n <td>\n 0\n </td>\n <td>\n 33 (45)\n </td>\n <td>\n 24 (38)\n </td>\n <td>\n 57 (42)\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 27 (36)\n </td>\n <td>\n 29 (46)\n </td>\n <td>\n 56 (41)\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 10 (14)\n </td>\n <td>\n 8 (13)\n </td>\n <td>\n 18 (13)\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 4 (5)\n </td>\n <td>\n 2 (3)\n </td>\n <td>\n 6 (4)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Group/diabetic status\n \n </td>\n <td>\n \n Age category\n \n </td>\n <td>\n \n Lean (\n \n n\n \n )\n \n </td>\n <td>\n \n Obese (\n \n n\n \n )\n \n </td>\n <td>\n \n Total (\n \n n\n \n )\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"5\">\n Comparison\n </td>\n </tr>\n <tr>\n <td>\n Nondiabetic\n </td>\n <td>\n Young\n </td>\n <td>\n 58\n </td>\n <td>\n 18\n </td>\n <td>\n 76\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Old\n </td>\n <td>\n 56\n </td>\n <td>\n 24\n </td>\n <td>\n 80\n </td>\n </tr>\n <tr>\n <td>\n Diabetic\n </td>\n <td>\n Young\n </td>\n <td>\n 3\n </td>\n <td>\n 7\n </td>\n <td>\n 10\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Old\n </td>\n <td>\n 9\n </td>\n <td>\n 9\n </td>\n <td>\n 18\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n ORH\n </td>\n </tr>\n <tr>\n <td>\n Nondiabetic\n </td>\n <td>\n Young\n </td>\n <td>\n 46\n </td>\n <td>\n 13\n </td>\n <td>\n 59\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Old\n </td>\n <td>\n 40\n </td>\n <td>\n 11\n </td>\n <td>\n 51\n </td>\n </tr>\n <tr>\n <td>\n Diabetic\n </td>\n <td>\n Young\n </td>\n <td>\n 4\n </td>\n <td>\n 4\n </td>\n <td>\n 8\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Old\n </td>\n <td>\n 6\n </td>\n <td>\n 5\n </td>\n <td>\n 11\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 313\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Method\n \n </td>\n <td>\n \n Look in the trials/studies included in the systematic review of benefit.\n \n </td>\n <td>\n \n Look in all retrieved trials/studies of that intervention, even in those excluded from the analysis of benefit\n \n </td>\n <td>\n \n Look for studies that specifically evaluate adverse effects of the intervention\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Protocol\n </td>\n <td>\n Should usually be the minimum recommendation\n </td>\n <td>\n Studies rejected from analysis of benefit (e.g. because beneficial outcomes are measured in a different way, which cannot be combined with other studies), may be included to allow adverse effect data collection. Two sets of inclusion criteria will be needed – for benefit, and for adverse effects\n </td>\n <td>\n Design separate strategy to identify studies that report adverse effects, including those that do not look at beneficial effects.\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n Might amount to a separate review nested within a traditional Cochrane review\n </td>\n </tr>\n <tr>\n <td>\n Pros\n </td>\n <td>\n Less demanding on time and resources\n </td>\n <td>\n More comprehensive than just looking at included trials\n </td>\n <td>\n Most comprehensive\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Does not require new literature search strategy\n </td>\n <td>\n Can potentially cover a more representative group of patients\n </td>\n <td>\n May be able to evaluate rare, or long-term, or previously unrecognized adverse effects\n </td>\n </tr>\n <tr>\n <td>\n Cons\n </td>\n <td>\n Data may be very limited and biased towards common, short-term harms\n </td>\n <td>\n Relatively time consuming as full-text articles of all potentially relevant studies need checking Data may be limited to well-recognized and commonly seen adverse effects.\n </td>\n <td>\n Time and resource intensive\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Benefit and harm cannot be compared directly as the data come from different sources\n </td>\n <td>\n Special techniques required in synthesizing data from a diverse range of sources\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n Increased quantity of data but greater risk of biased and poor quality data\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n Benefit and harm cannot be compared directly as the data come from different sources.\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Strain\n \n E. coli\n \n RV 308 carrying\n \n </td>\n <td>\n \n Plate without inducer [cfu]\n \n </td>\n <td>\n \n Plate with aTc [cfu]\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n pANTI1\n </td>\n <td>\n 87\n </td>\n <td>\n 86\n </td>\n </tr>\n <tr>\n <td>\n pANTI2\n </td>\n <td>\n 101\n </td>\n <td>\n 107\n </td>\n </tr>\n <tr>\n <td>\n pANTI3\n </td>\n <td>\n 116\n </td>\n <td>\n 112\n </td>\n </tr>\n <tr>\n <td>\n pANTI4\n </td>\n <td>\n 108\n </td>\n <td>\n 105\n </td>\n </tr>\n <tr>\n <td>\n pANTI5\n </td>\n <td>\n 101\n </td>\n <td>\n 106\n </td>\n </tr>\n <tr>\n <td>\n pANTI6\n </td>\n <td>\n 111\n </td>\n <td>\n 106\n </td>\n </tr>\n <tr>\n <td>\n pANTI7\n </td>\n <td>\n 178\n </td>\n <td>\n 197\n </td>\n </tr>\n <tr>\n <td>\n pP4Hcyt-MCS3\n </td>\n <td>\n 104\n </td>\n <td>\n 99\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"7\">\n \n Percentage of days/year within favorable temperature range\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td colspan=\"3\">\n \n Parasite survival\n \n </td>\n <td colspan=\"2\">\n \n Vector survival\n \n </td>\n <td colspan=\"2\">\n \n Vector activity\n \n </td>\n </tr>\n <tr>\n <td>\n \n Region in Portugal\n \n </td>\n <td>\n \n \n P. vivax\n \n \n </td>\n <td>\n \n \n P. falciparum\n \n \n </td>\n <td>\n \n \n Schistosoma\n \n \n </td>\n <td>\n \n \n Anopheles\n \n \n </td>\n <td>\n \n \n Ph. ariasi\n \n \n </td>\n <td>\n \n \n Ph. perniciosus\n \n \n </td>\n <td>\n \n \n I. ricinus\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"8\">\n Northern region\n </td>\n </tr>\n <tr>\n <td>\n PROMES\n </td>\n <td>\n (37) 50\n </td>\n <td>\n (30) 43\n </td>\n <td>\n (34) 48\n </td>\n <td>\n (60) 79\n </td>\n <td>\n (91) 96\n </td>\n <td>\n (34) 41\n </td>\n <td>\n (81) 92\n </td>\n </tr>\n <tr>\n <td>\n HadRM2\n </td>\n <td>\n (28) 57\n </td>\n <td>\n (23) 49\n </td>\n <td>\n (26) 55\n </td>\n <td>\n (55) 87\n </td>\n <td>\n (90) 92\n </td>\n <td>\n (26) 43\n </td>\n <td>\n (79) 90\n </td>\n </tr>\n <tr>\n <td>\n Observed (Porto)\n </td>\n <td>\n 45\n </td>\n <td>\n 37\n </td>\n <td>\n 40\n </td>\n <td>\n 75\n </td>\n <td>\n 90\n </td>\n <td>\n 39\n </td>\n <td>\n 88\n </td>\n </tr>\n <tr>\n <td colspan=\"8\">\n Lisbon and Tagus Valley\n </td>\n </tr>\n <tr>\n <td>\n PROMES\n </td>\n <td>\n (54) 75\n </td>\n <td>\n (43) 62\n </td>\n <td>\n (51) 71\n </td>\n <td>\n (89) 99\n </td>\n <td>\n (99) 92\n </td>\n <td>\n (47) 58\n </td>\n <td>\n (97) 92\n </td>\n </tr>\n <tr>\n <td>\n HadRM2\n </td>\n <td>\n (50) 86\n </td>\n <td>\n (40) 75\n </td>\n <td>\n (46) 84\n </td>\n <td>\n (87) 99\n </td>\n <td>\n (99) 91\n </td>\n <td>\n (45) 69\n </td>\n <td>\n (97) 91\n </td>\n </tr>\n <tr>\n <td>\n Observed (Lisbon)\n </td>\n <td>\n 53\n </td>\n <td>\n 49\n </td>\n <td>\n 50\n </td>\n <td>\n 89\n </td>\n <td>\n 98\n </td>\n <td>\n 50\n </td>\n <td>\n 96\n </td>\n </tr>\n <tr>\n <td colspan=\"8\">\n Algrave\n </td>\n </tr>\n <tr>\n <td>\n PROMES\n </td>\n <td>\n (59) 81\n </td>\n <td>\n (50) 68\n </td>\n <td>\n (56) 77\n </td>\n <td>\n (92) 99\n </td>\n <td>\n (98) 89\n </td>\n <td>\n (51) 60\n </td>\n <td>\n (97) 89\n </td>\n </tr>\n <tr>\n <td>\n HadRM2\n </td>\n <td>\n (50) 86\n </td>\n <td>\n (40) 75\n </td>\n <td>\n (46) 83\n </td>\n <td>\n (85) 99\n </td>\n <td>\n (99) 89\n </td>\n <td>\n (45) 65\n </td>\n <td>\n (97) 89\n </td>\n </tr>\n <tr>\n <td>\n Observed (Faro)\n </td>\n <td>\n 61\n </td>\n <td>\n 59\n </td>\n <td>\n 60\n </td>\n <td>\n 90\n </td>\n <td>\n 97\n </td>\n <td>\n 46\n </td>\n <td>\n 95\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Control Group I (simple) (n = 36)\n \n </td>\n <td>\n \n Control Group II (metastases) (n = 43)\n \n </td>\n <td>\n \n Study Group (complex) (n = 46)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Volume (cc)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Min\n </td>\n <td>\n 0.19\n </td>\n <td>\n 0.12\n </td>\n <td>\n 0.62\n </td>\n </tr>\n <tr>\n <td>\n Max\n </td>\n <td>\n 206.3\n </td>\n <td>\n 66\n </td>\n <td>\n 98.3\n </td>\n </tr>\n <tr>\n <td>\n Mean\n </td>\n <td>\n 45.61\n </td>\n <td>\n 4.87\n </td>\n <td>\n 12.6\n </td>\n </tr>\n <tr>\n <td>\n Median\n </td>\n <td>\n 8.83\n </td>\n <td>\n 1.43\n </td>\n <td>\n 7.27\n </td>\n </tr>\n <tr>\n <td>\n Histology\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Carcinomas\n </td>\n <td>\n 13\n </td>\n <td>\n 33\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Chordoma\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Gliomas\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Malignant Gliomas\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Melanoma\n </td>\n <td>\n 0\n </td>\n <td>\n 10\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Meningioma\n </td>\n <td>\n 5\n </td>\n <td>\n 0\n </td>\n <td>\n 21\n </td>\n </tr>\n <tr>\n <td>\n Pituitary Adenoma\n </td>\n <td>\n 3\n </td>\n <td>\n 0\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Sarcomas\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Schwannoma (not VIII)\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Vestibular Schwannoma\n </td>\n <td>\n 10\n </td>\n <td>\n 0\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Location\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Cavernous Sinus\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 15\n </td>\n </tr>\n <tr>\n <td>\n CP Angle/IAC\n </td>\n <td>\n 12\n </td>\n <td>\n 0\n </td>\n <td>\n 6\n </td>\n </tr>\n <tr>\n <td>\n Foramen Magnum\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Nasopharynx\n </td>\n <td>\n 4\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Orbital Apex/Parasellar\n </td>\n <td>\n 3\n </td>\n <td>\n 0\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n Paranasal Sinus\n </td>\n <td>\n 4\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Petroclival\n </td>\n <td>\n 3\n </td>\n <td>\n 0\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Sellar\n </td>\n <td>\n 3\n </td>\n <td>\n 0\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Cerebral Hemishpere\n </td>\n <td>\n 1\n </td>\n <td>\n 34\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Thalamus/Hypothalamus\n </td>\n <td>\n 0\n </td>\n <td>\n 2\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Cerebellum\n </td>\n <td>\n 0\n </td>\n <td>\n 7\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Other*\n </td>\n <td>\n 4\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Response\n \n </td>\n <td colspan=\"2\">\n \n Symptom Improvement\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n No.\n </td>\n <td>\n %\n </td>\n </tr>\n <tr>\n <td>\n CR+PR\n </td>\n <td>\n 1+5\n </td>\n <td>\n 18.2\n </td>\n </tr>\n <tr>\n <td>\n SD\n </td>\n <td>\n 12\n </td>\n <td>\n 36.3\n </td>\n </tr>\n <tr>\n <td>\n PD\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 18\n </td>\n <td>\n 54.5\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Classification\n \n </td>\n <td>\n \n N (%)\n \n </td>\n <td>\n \n Age†\n \n </td>\n <td>\n \n ♀/♂\n \n </td>\n <td>\n \n Right/Left\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Primary\n </td>\n <td>\n 25 (52)\n </td>\n <td>\n 57 (33 to 82)\n </td>\n <td>\n 13/12\n </td>\n <td>\n 12/13\n </td>\n </tr>\n <tr>\n <td>\n Secondary\n </td>\n <td>\n 23 (48)\n </td>\n <td>\n -\n </td>\n <td>\n 14/9\n </td>\n <td>\n 9/14\n </td>\n </tr>\n <tr>\n <td>\n postoperative\n </td>\n <td>\n 9 (19)\n </td>\n <td>\n 39 (16 to 56)\n </td>\n <td>\n 5/4\n </td>\n <td>\n 4/5\n </td>\n </tr>\n <tr>\n <td>\n postinflammatory\n </td>\n <td>\n 5 (10)\n </td>\n <td>\n 48 (17 to 63)\n </td>\n <td>\n 3/2\n </td>\n <td>\n 1/4\n </td>\n </tr>\n <tr>\n <td>\n postirradiatory\n </td>\n <td>\n 7 (15)\n </td>\n <td>\n 56 (32 to 66)\n </td>\n <td>\n 5/2\n </td>\n <td>\n 3/4\n </td>\n </tr>\n <tr>\n <td>\n posttraumatic\n </td>\n <td>\n 2 (4)\n </td>\n <td>\n 16 (15 to 17)\n </td>\n <td>\n 1/1\n </td>\n <td>\n 1/1\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Variables\n \n </td>\n <td>\n \n Mean ± SD\n \n </td>\n <td>\n \n Min\n \n </td>\n <td>\n \n Max\n \n </td>\n <td>\n \n Variables\n \n </td>\n <td>\n \n Categories\n \n </td>\n <td>\n \n %\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (years)\n </td>\n <td>\n 55.3 ± 4.4\n </td>\n <td>\n 49.0\n </td>\n <td>\n 64.0\n </td>\n <td>\n Smoking habits\n </td>\n <td>\n SmokerFormer smokerNever smoker\n </td>\n <td>\n 74.511.813.7\n </td>\n </tr>\n <tr>\n <td>\n Weight (kg)\n </td>\n <td>\n 68.0 ± 15.2\n </td>\n <td>\n 36.0\n </td>\n <td>\n 102.0\n </td>\n <td>\n Physical activity\n </td>\n <td>\n SedentaryActive*\n </td>\n <td>\n 73.926.1\n </td>\n </tr>\n <tr>\n <td>\n Height (cm)\n </td>\n <td>\n 156.2 ± 6.6\n </td>\n <td>\n 142.0\n </td>\n <td>\n 171.0\n </td>\n <td>\n Dairy products (Portions per day)\n </td>\n <td>\n 0 to 23 and more\n </td>\n <td>\n 71.328.7\n </td>\n </tr>\n <tr>\n <td>\n Body mass index (kg/m\n <sup>\n 2\n </sup>\n )\n </td>\n <td>\n 27.9 ± 6.1\n </td>\n <td>\n 14.4\n </td>\n <td>\n 43.4\n </td>\n <td>\n Calcium supplement use\n </td>\n <td>\n YesNo\n </td>\n <td>\n 8.591.5\n </td>\n </tr>\n <tr>\n <td>\n Waist circumference (cm)\n </td>\n <td>\n 93.4 ± 14.4\n </td>\n <td>\n 64.0\n </td>\n <td>\n 131.0\n </td>\n <td>\n Menopausal (n = 141)\n </td>\n <td>\n YesNo\n </td>\n <td>\n 87.912.1\n </td>\n </tr>\n <tr>\n <td>\n Abdominal circumference (cm)\n </td>\n <td>\n 96.3 ± 14.2\n </td>\n <td>\n 67.0\n </td>\n <td>\n 129.0\n </td>\n <td>\n Current HRT use\n </td>\n <td>\n YesNo\n </td>\n <td>\n 8.594.8\n </td>\n </tr>\n <tr>\n <td>\n Hip circumference (cm)\n </td>\n <td>\n 103.3 ± 10.3\n </td>\n <td>\n 82.0\n </td>\n <td>\n 130.0\n </td>\n <td>\n Former contraceptive use\n </td>\n <td>\n YesNo\n </td>\n <td>\n 40.559.5\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n ADL\n \n </td>\n <td>\n \n Definition of Values\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n ADL: Grooming*\n </td>\n <td>\n 0 = Able to groom self unaided, with or without use of assistive devices\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1 = Grooming utensils must be placed within reach\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2 = Someone must assist the patient to groom self\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3 = Patient depends entirely upon someone else\n </td>\n </tr>\n <tr>\n <td>\n ADL: Ability to dress upper body\n </td>\n <td>\n 0 = Able to obtain, put on, and remove clothing\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1 = Able to dress upper body without assistance\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2 = Someone must help patient\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3 = Patient depends entirely on someone else\n </td>\n </tr>\n <tr>\n <td>\n ADL: Ability to dress lower body\n </td>\n <td>\n 0 = Able to obtain, put on and remove clothing\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1 = Able to dress lower body without assistance\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2 = Someone must help the patient\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3 = Patient depends entirely on someone else\n </td>\n </tr>\n <tr>\n <td>\n ADL: Bathing*\n </td>\n <td>\n 0 = Able to bathe self in shower or tub independently\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1 = With the use of devices, is able to bathe\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2 = Able to bathe with the assistance of a person\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3 = Participates in bathing in shower or tub\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 4 = Unable to use the shower or tub, but able to assist\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 5 = Unable to effectively participate in bathing, totally bathed by another person\n </td>\n </tr>\n <tr>\n <td>\n ADL: Toileting*\n </td>\n <td>\n 0 = Able to get to and from the toilet independently\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1 = When reminded assisted or supervised\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2 = Unable to get to and from toilet; can use bedside commode\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3 = Unable to get to from the toilet or bedside commode; can use a bedpan\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 4 = Is totally dependent for toileting\n </td>\n </tr>\n <tr>\n <td>\n ADL: Transferring*\n </td>\n <td>\n 0 = Able to independently transfer\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1 = Transfers with minimal human assistance\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2 = Unable to transfer self but is able to bear weight\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3 = Unable to transfer self and is unable to bear weight\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 4 = Bedfast, unable to transfer but is able to turn\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 5 = Bedfast, unable to transfer and is unable to turn\n </td>\n </tr>\n <tr>\n <td>\n ADL: Ambulation/Locomotion*\n </td>\n <td>\n 0 = Able to independently walk\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1 = Requires use of a device\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2 = Able to walk only with the supervision\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3 = Chairfast, unable to ambulate but can use wheelchair\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 4 = Chairfast, unable to ambulate and or use wheelchair\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 5 = Bedfast\n </td>\n </tr>\n <tr>\n <td>\n ADL: Feeding or eating\n </td>\n <td>\n 0 = Able to independently feed self\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1 = Able to feed self but requires help in setup\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2 = Unable to feed self and requires human assistance\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3 = Able to take in nutrients orally and tube fed\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 4 = Unable to take in nutrients orally; tube fed\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 5 = Unable to take in nutrients orally or by tube feeding\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Findings\n \n </td>\n <td>\n \n GCA (\n \n n\n \n = 22)\n \n </td>\n <td>\n \n Miscellaneous diagnoses (\n \n n\n \n = 33)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age 50 years or above\n </td>\n <td>\n 22\n </td>\n <td>\n 33\n </td>\n </tr>\n <tr>\n <td>\n Elevated ESR\n </td>\n <td>\n 19\n </td>\n <td>\n 30\n </td>\n </tr>\n <tr>\n <td>\n Fever\n </td>\n <td>\n 9\n </td>\n <td>\n 19\n </td>\n </tr>\n <tr>\n <td>\n New onset of headache\n </td>\n <td>\n 14\n </td>\n <td>\n 10\n </td>\n </tr>\n <tr>\n <td>\n Diffuse musculoskeletal pain\n </td>\n <td>\n 7\n </td>\n <td>\n 15\n </td>\n </tr>\n <tr>\n <td>\n Jaw claudication\n </td>\n <td>\n 3\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Temporal artery tenderness\n </td>\n <td>\n 8\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n Acute visual impairement\n </td>\n <td>\n 5\n </td>\n <td>\n 2\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n NaCl\n \n </td>\n <td>\n \n cIg\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n CD97 mAb\n <sup>\n a\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Interleukin-10 (pg/ml)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Splenocytes\n </td>\n <td>\n 49 ± 11\n </td>\n <td>\n 53 ± 14\n </td>\n <td>\n 76 ± 29\n </td>\n </tr>\n <tr>\n <td>\n Lymph node cells\n </td>\n <td>\n 35 ± 5\n </td>\n <td>\n 31 ± 3\n </td>\n <td>\n 78 ± 27\n </td>\n </tr>\n <tr>\n <td>\n Interferon-γ (pg/ml)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Splenocytes\n </td>\n <td>\n 76 ± 11\n </td>\n <td>\n 65 ± 15\n </td>\n <td>\n 156 ± 33\n </td>\n </tr>\n <tr>\n <td>\n Lymph node cells\n </td>\n <td>\n 98 ± 28\n </td>\n <td>\n 76 ± 12\n </td>\n <td>\n 204 ± 62\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Molecule\n \n </td>\n <td>\n \n Primer sequence\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Receptor activator of NF-κB\n </td>\n <td>\n 5'-TGG CCG CCT AAG TGG AGA TA\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-TGC GTA GGG ACC ACC TCC TA\n </td>\n </tr>\n <tr>\n <td>\n c-fms\n </td>\n <td>\n 5'-GAC GTT TGA GCT CAC CCT TCG ATA\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-CCT GGT ACT TGG GCT TCT GCT TAT\n </td>\n </tr>\n <tr>\n <td>\n Tumor necrosis factor receptor-associated factor 6\n </td>\n <td>\n 5'-AGA CAA GAC CAT CAA ATC CGG GAG\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-TCC AGG GCT ATG AAT CAC AAC AGG\n </td>\n </tr>\n <tr>\n <td>\n c-Fos\n </td>\n <td>\n 5'-CAG GAG ACA GAC CAA CTA GA\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-TTC ACG GAC AGA TAA GGT CC\n </td>\n </tr>\n <tr>\n <td>\n DNAX-activation protein 12\n </td>\n <td>\n 5'-ATG GGG GGA CTT GAA CCC\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-TCA TTT GTA ATA CGG CCT CTG TG\n </td>\n </tr>\n <tr>\n <td>\n Fc receptor γ chain\n </td>\n <td>\n 5'-TGA TTC CAG CAG TGG TCT TGC TCT\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-ATG CAG GCA TAT GTG ATG CCA ACC\n </td>\n </tr>\n <tr>\n <td>\n Signal regulatory protein β1\n </td>\n <td>\n 5'-ACC CAC CTT GGA GGT TAC TCA ACA\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-TGT AGA TGG CAG AGA CAC CAA CCA\n </td>\n </tr>\n <tr>\n <td>\n Triggering receptor expressed on myeloid cells 2\n </td>\n <td>\n 5'-ATG GAG CCT CTC CGG GTG CT\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-CTG CGG AAT CTA CAA CCC CA\n </td>\n </tr>\n <tr>\n <td>\n Osteoclast-associated receptor\n </td>\n <td>\n 5'-GAG TAG CTG AAA GGA AGA CGC GAT\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-CAG AGC GCT GAT TGG TCC ATC TTA\n </td>\n </tr>\n <tr>\n <td>\n Nuclear factor of activated T cells c1\n </td>\n <td>\n 5'-TGT GCC GGA ATC CTG AAA CTC AGA\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-TCC CGT TGC AGA CGT AGA AAC TGA\n </td>\n </tr>\n <tr>\n <td>\n Integrin αv\n </td>\n <td>\n 5'-TCC CAT CAG TGG TTT GGA GCA TCT\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-TCC GAC AGC CAC AGA ATA ACC CAA\n </td>\n </tr>\n <tr>\n <td>\n Integrin β3\n </td>\n <td>\n 5'-TGC CTC AAC AAT GAG GTC ATC CCT\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-AGA CAC ATT GAC CAC AGA GGC ACT\n </td>\n </tr>\n <tr>\n <td>\n β-Actin\n </td>\n <td>\n 5'-GTC CTC TCC CAA GTC CAC ACA\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-CTG GTC TCA AGT CAG TGT ACA GGT AA\n </td>\n </tr>\n <tr>\n <td>\n GAPDH\n </td>\n <td>\n 5'-TGA TGA CAT CAA GAA GGT GGT GAA G\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3'-TCC TTG GAG GCC ATG TGG GCC AT\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Genotypes\n \n </td>\n <td>\n \n Patients\n \n </td>\n <td>\n \n Toxicities\n \n </td>\n <td>\n \n HR\n <sup>\n a\n </sup>\n (95% CI)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n GSTM1\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Present\n </td>\n <td>\n 215\n </td>\n <td>\n 36\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n Absent\n </td>\n <td>\n 213\n </td>\n <td>\n 39\n </td>\n <td>\n 1.23 (0.74–2.03)\n </td>\n </tr>\n <tr>\n <td>\n \n GSTT1\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Present\n </td>\n <td>\n 384\n </td>\n <td>\n 69\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n Absent\n </td>\n <td>\n 55\n </td>\n <td>\n 6\n </td>\n <td>\n 0.73 (0.29–1.86)\n </td>\n </tr>\n <tr>\n <td>\n \n GSTA1\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n GG\n </td>\n <td>\n 149\n </td>\n <td>\n 29\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n GA\n </td>\n <td>\n 194\n </td>\n <td>\n 35\n </td>\n <td>\n 1.09 (0.65–1.82)\n </td>\n </tr>\n <tr>\n <td>\n AA\n </td>\n <td>\n 87\n </td>\n <td>\n 12\n </td>\n <td>\n 0.85 (0.43–1.71)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n P\n \n (trend) = 0.44\n </td>\n </tr>\n <tr>\n <td>\n \n GSTP1\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n AA\n </td>\n <td>\n 176\n </td>\n <td>\n 27\n </td>\n <td>\n 1.0\n </td>\n </tr>\n <tr>\n <td>\n AG\n </td>\n <td>\n 213\n </td>\n <td>\n 39\n </td>\n <td>\n 1.38 (0.83–2.30)\n </td>\n </tr>\n <tr>\n <td>\n GG\n </td>\n <td>\n 38\n </td>\n <td>\n 10\n </td>\n <td>\n 2.28 (1.04–4.99)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n P\n \n (trend) = 0.04\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Haplotype\n \n </td>\n <td>\n \n Percentage in cases (\n \n n\n \n = 5,584)\n \n </td>\n <td>\n \n Percentage in controls (\n \n n\n \n = 7,459)\n \n </td>\n <td>\n \n OR\n <sup>\n a\n </sup>\n (95% CI)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n AGGAAA\n </td>\n <td>\n 0.72\n </td>\n <td>\n 0.71\n </td>\n <td>\n 1.00 (Ref.)\n </td>\n </tr>\n <tr>\n <td>\n GAAAGG\n </td>\n <td>\n 0.08\n </td>\n <td>\n 0.08\n </td>\n <td>\n 1.01 (0.93 to 1.11)\n </td>\n </tr>\n <tr>\n <td>\n AAAAAG\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.07\n </td>\n <td>\n 0.94 (0.85 to 1.03)\n </td>\n </tr>\n <tr>\n <td>\n AGGGAA\n </td>\n <td>\n 0.05\n </td>\n <td>\n 0.05\n </td>\n <td>\n 0.97 (0.87 to 1.08)\n </td>\n </tr>\n <tr>\n <td>\n AGGAAG\n </td>\n <td>\n 0.05\n </td>\n <td>\n 0.05\n </td>\n <td>\n 1.02 (0.91 to 1.15)\n </td>\n </tr>\n <tr>\n <td>\n GAAAAG\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.99 (0.83 to 1.18)\n </td>\n </tr>\n <tr>\n <td>\n AGAAAG\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.01\n </td>\n <td>\n 0.98 (0.82 to 1.18)\n </td>\n </tr>\n <tr>\n <td>\n <5%\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.01\n </td>\n <td>\n 1.18 (0.98 to 1.43)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Bipartition (Split)\n \n </td>\n <td>\n \n Pattern KOOCSS\n \n </td>\n <td>\n \n Number of SNDs\n \n </td>\n <td>\n \n Relative frequency\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n ((KSSOO) C)\n </td>\n <td>\n 111211\n </td>\n <td>\n 50,354\n </td>\n <td>\n 38.73\n </td>\n </tr>\n <tr>\n <td>\n ((KSSC)(OO))\n </td>\n <td>\n 122111\n </td>\n <td>\n 19,678\n </td>\n <td>\n 15.14\n </td>\n </tr>\n <tr>\n <td>\n ((KOOC)(SS))\n </td>\n <td>\n 111122\n </td>\n <td>\n 18,490\n </td>\n <td>\n 14.22\n </td>\n </tr>\n <tr>\n <td>\n (K(OOSSC))\n </td>\n <td>\n 122222\n </td>\n <td>\n 14,115\n </td>\n <td>\n 10.86\n </td>\n </tr>\n <tr>\n <td>\n ((KSS)(OOC)) = KS\n </td>\n <td>\n 122211\n </td>\n <td>\n 9,882\n </td>\n <td>\n 7.60\n </td>\n </tr>\n <tr>\n <td>\n ((KOO)(SSC)) = KO\n </td>\n <td>\n 111222\n </td>\n <td>\n 6,890\n </td>\n <td>\n 5.30\n </td>\n </tr>\n <tr>\n <td>\n ((KC)(OOSS)) = KC\n </td>\n <td>\n 122122\n </td>\n <td>\n 5,874\n </td>\n <td>\n 4.52\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Bipartition pattern\n \n </td>\n <td colspan=\"5\">\n \n Number of segments exceeding a given HSS threshold of 100\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n 101-110\n \n </td>\n <td>\n \n 111-125\n \n </td>\n <td>\n \n 126-200\n \n </td>\n <td>\n \n >200\n \n </td>\n <td>\n \n Total\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n KO (CS)\n </td>\n <td>\n 13\n </td>\n <td>\n 17\n </td>\n <td>\n 25\n </td>\n <td>\n 7\n </td>\n <td>\n 64\n </td>\n </tr>\n <tr>\n <td>\n KC (OS)\n </td>\n <td>\n 14\n </td>\n <td>\n 16\n </td>\n <td>\n 18\n </td>\n <td>\n 5\n </td>\n <td>\n 53\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"4\">\n \n Genotyping of \"a\" determinant\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"2\">\n \n Reverse hybridization\n \n </td>\n <td colspan=\"2\">\n \n Sequencing\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Patient\n </td>\n <td>\n Diagnosis\n </td>\n <td>\n Viral load (copies/ml)\n </td>\n <td>\n Bands stained\n </td>\n <td>\n Genotype\n </td>\n <td>\n Genotype/Subtype\n </td>\n <td>\n Mutations\n </td>\n </tr>\n <tr>\n <td>\n HBV1\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 477\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n Y100N\n </td>\n </tr>\n <tr>\n <td>\n HBV2\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 3330\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV3\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 7350\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n Q129H\n </td>\n </tr>\n <tr>\n <td>\n HBV5\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 32700\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV19\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 43100\n </td>\n <td>\n 15\n </td>\n <td>\n ID*\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV20\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 5750\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV22\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 10300\n </td>\n <td>\n 8,9\n </td>\n <td>\n C\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV24\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 1010\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n N146K\n </td>\n </tr>\n <tr>\n <td>\n HBV25\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 4500\n </td>\n <td>\n 8,9,11,15\n </td>\n <td>\n C/H\n </td>\n <td>\n H/adw1q+\n </td>\n <td>\n T126I\n </td>\n </tr>\n <tr>\n <td>\n HBV26\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 8470\n </td>\n <td>\n 8,9,11,14,15\n </td>\n <td>\n C/F/H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV29\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 3650\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV30\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 869\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV32\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 2030\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV35\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 215\n </td>\n <td>\n 8,9\n </td>\n <td>\n C\n </td>\n <td>\n C/adrq+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV37\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 19000\n </td>\n <td>\n 11\n </td>\n <td>\n ID\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV38\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 3920\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV43\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 5990\n </td>\n <td>\n 14,15\n </td>\n <td>\n F\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV48\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 20400\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV49\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n <200\n </td>\n <td>\n none\n </td>\n <td>\n ID\n </td>\n <td>\n H/adrq+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV50\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 428\n </td>\n <td>\n none\n </td>\n <td>\n ID\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV62\n </td>\n <td>\n Asymptomatic\n </td>\n <td>\n 12100\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV7\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n 682000\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV9\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n >200000\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV10\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n 3970000\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV11\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n 8070\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV12\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n <200\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV13\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n <200\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV14\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n <200\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV15\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n 2560000\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV16\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n 139000\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n F93I\n </td>\n </tr>\n <tr>\n <td>\n HBV17\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n 8480\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n HBV18\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n 3260\n </td>\n <td>\n 11,15\n </td>\n <td>\n H\n </td>\n <td>\n H/adw4q+\n </td>\n <td>\n A128V\n </td>\n </tr>\n <tr>\n <td>\n HBV21\n </td>\n <td>\n Chronic hepatitis\n </td>\n <td>\n 6440000\n </td>\n <td>\n 8,9,11,15\n </td>\n <td>\n C/H\n </td>\n <td>\n C/adrq+\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Conserved\n \n </td>\n <td>\n \n Random\n \n </td>\n <td>\n \n Prediction interval *\n \n </td>\n <td>\n \n Difference\n \n </td>\n <td>\n \n Number of prediction intervals**\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Strands\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Alpha/beta\n </td>\n <td>\n 2217\n </td>\n <td>\n 1984.4\n </td>\n <td>\n 109.2\n </td>\n <td>\n -232.6\n </td>\n <td>\n \n 2.13\n \n </td>\n </tr>\n <tr>\n <td>\n Alpha + beta\n </td>\n <td>\n 1556\n </td>\n <td>\n 1465.3\n </td>\n <td>\n 83.3\n </td>\n <td>\n -90.7\n </td>\n <td>\n \n 1.09\n \n </td>\n </tr>\n <tr>\n <td>\n All alpha\n </td>\n <td>\n 263\n </td>\n <td>\n 343.7\n </td>\n <td>\n 63.3\n </td>\n <td>\n 80.7\n </td>\n <td>\n \n 1.27\n \n </td>\n </tr>\n <tr>\n <td>\n All beta\n </td>\n <td>\n 1666\n </td>\n <td>\n 1427.7\n </td>\n <td>\n 70.1\n </td>\n <td>\n -238.3\n </td>\n <td>\n \n 3.40\n \n </td>\n </tr>\n <tr>\n <td>\n \n Helices\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Alpha/beta\n </td>\n <td>\n 2127\n </td>\n <td>\n 2262.4\n </td>\n <td>\n 84.5\n </td>\n <td>\n 135.4\n </td>\n <td>\n \n 1.60\n \n </td>\n </tr>\n <tr>\n <td>\n Alpha + beta\n </td>\n <td>\n 1109\n </td>\n <td>\n 1229.2\n </td>\n <td>\n 62.7\n </td>\n <td>\n 120.2\n </td>\n <td>\n \n 1.92\n \n </td>\n </tr>\n <tr>\n <td>\n All alpha\n </td>\n <td>\n 1139\n </td>\n <td>\n 1104.2\n </td>\n <td>\n 37.3\n </td>\n <td>\n -34.8\n </td>\n <td>\n 0.93\n </td>\n </tr>\n <tr>\n <td>\n All beta\n </td>\n <td>\n 326\n </td>\n <td>\n 466.43\n </td>\n <td>\n 47.4\n </td>\n <td>\n 140.4\n </td>\n <td>\n \n 2.97\n \n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n Leptin, ng/mL\n \n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Δ (95% C.I.)\n \n </td>\n <td>\n \n \n P\n \n -value\n \n </td>\n <td>\n \n Multiple R\n <sup>\n 2\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n BMI\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Model 1\n </td>\n <td>\n 10.65 (8.16–13.19)\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 0.68\n </td>\n </tr>\n <tr>\n <td>\n Model 2\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n % Fat\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Model 1\n </td>\n <td>\n 7.77 (6.56–8.98)\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 0.82\n </td>\n </tr>\n <tr>\n <td>\n Model 2\n </td>\n <td>\n 7.20 (4.72–9.75)\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 0.82\n </td>\n </tr>\n <tr>\n <td>\n Central fat\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Model 1\n </td>\n <td>\n 11.93 (9.72–14.18)\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 0.77\n </td>\n </tr>\n <tr>\n <td>\n Model 2\n </td>\n <td>\n 11.58 (5.87–17.61)\n </td>\n <td>\n 0.0002\n </td>\n <td>\n 0.77\n </td>\n </tr>\n <tr>\n <td>\n Peripheral fat\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Model 1\n </td>\n <td>\n 10.55 (8.33–12.81)\n </td>\n <td>\n < 0.0001\n </td>\n <td>\n 0.72\n </td>\n </tr>\n <tr>\n <td>\n Model 2\n </td>\n <td>\n 7.98 (2.13–14.16)\n </td>\n <td>\n 0.01\n </td>\n <td>\n 0.73\n </td>\n </tr>\n <tr>\n <td>\n Lean mass\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Model 1\n </td>\n <td>\n 8.61 (3.76–13.68)\n </td>\n <td>\n 0.001\n </td>\n <td>\n 0.31\n </td>\n </tr>\n <tr>\n <td>\n Model 2\n </td>\n <td>\n -0.85 (-4.81–3.25)\n </td>\n <td>\n 0.68\n </td>\n <td>\n 0.68\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Sample\n \n </td>\n <td>\n \n Specimen collection\n \n </td>\n <td>\n \n Adequacy\n \n </td>\n <td>\n \n Diagnostic categorization\n \n </td>\n <td>\n \n Guideline society\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Cervical smear\n </td>\n <td>\n The whole cervix should be visualized and the whole TZ area should be sampled.Cytobrush along with extended tip spatula is the best combination. (Lancet review).Rotate the spatula through more than one complete turn. Immediately transfer the cells to the slides and immediately fix the smear by immersing in alcohol.\n </td>\n <td>\n Satisfactory samples should have the presence of endocervical cells/transformation zone component. There should be at least 10 well preserved endocervical or metaplastic squamous cells singly or in groups [22].\n </td>\n <td>\n • Negative for intraepithelial lesion• Epithelial cell abnormalitiesSquamous cell• Atypical squamous cells of undetermined significance (ASC-US) and can not exclude HSIL• Low grade squamous intra epithelial lesion (LSIL)• High grade squamous intra epithelial lesion (HSIL)• Squamous cell carcinomaGlandular cell• Atypical glandular cells• Atypical glandular cells favor neoplastic• Endocervical adenocarcinoma in situ• AdenocarcinomaOther• Endometrial cells in a woman > 40 years of age\n </td>\n <td>\n The 2001 Bethesda System [22]\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Baseline Mean (SD)\n \n </td>\n <td>\n \n 6 months Mean (SD)\n \n </td>\n <td>\n \n 12 months Mean (SD)\n \n </td>\n <td>\n \n 24 months Mean (SD)\n \n </td>\n <td>\n \n Between subjects\n \n F\n \n \n </td>\n <td>\n \n Condition by time\n \n F\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"7\">\n Diet (% calories saturated fat)\n </td>\n </tr>\n <tr>\n <td>\n UC\n </td>\n <td>\n .13 (.04)\n </td>\n <td>\n .12 (.04)\n </td>\n <td>\n .12 (.04)\n </td>\n <td>\n .12 (.04)\n </td>\n <td>\n 39.30***\n </td>\n <td>\n 2.74\n </td>\n </tr>\n <tr>\n <td>\n MLP\n </td>\n <td>\n .14 (.03)\n </td>\n <td>\n .10 (.03)\n </td>\n <td>\n .11 (.03)\n </td>\n <td>\n .11 (.03)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n Physical Activity (kcal/kg/hr moderate activity)\n </td>\n </tr>\n <tr>\n <td>\n UC\n </td>\n <td>\n 7.72 (8.44)\n </td>\n <td>\n 7.56 (6.66)\n </td>\n <td>\n 6.39 (6.73)\n </td>\n <td>\n 7.13 (5.29)\n </td>\n <td>\n 7.62 **\n </td>\n <td>\n .11\n </td>\n </tr>\n <tr>\n <td>\n MLP\n </td>\n <td>\n 5.63 (5.30)\n </td>\n <td>\n 8.78 (6.51)\n </td>\n <td>\n 7.69 (6.35)\n </td>\n <td>\n 7.90 (6.55)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n <underline>\n Stress Management\n </underline>\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n Daily Practice (minutes)\n </td>\n </tr>\n <tr>\n <td>\n UC\n </td>\n <td>\n 10.3 (19.8)\n </td>\n <td>\n 11.7 (19.4)\n </td>\n <td>\n 9.4 (20.5)\n </td>\n <td>\n 11.0 (19.2)\n </td>\n <td>\n 20.48***\n </td>\n <td>\n 0.94\n </td>\n </tr>\n <tr>\n <td>\n MLP\n </td>\n <td>\n 6.1 (14.0)\n </td>\n <td>\n 20.8 (17.4)\n </td>\n <td>\n 16.0 (16.5)\n </td>\n <td>\n 16.8 (16.4)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n Flexibility (sit-and-reach % score)\n </td>\n </tr>\n <tr>\n <td>\n UC\n </td>\n <td>\n 32.9 (25.7)\n </td>\n <td>\n 31.0 (27.2)\n </td>\n <td>\n 28.6 (28.3)\n </td>\n <td>\n 30.4 (28.4)\n </td>\n <td>\n 3.99*\n </td>\n <td>\n 0.32\n </td>\n </tr>\n <tr>\n <td>\n MLP\n </td>\n <td>\n 32.3 (23.9)\n </td>\n <td>\n 36.2 (27.3)\n </td>\n <td>\n 32.2 (28.6)\n </td>\n <td>\n 36.2 (29.0)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td colspan=\"7\">\n Flexibility (range-of-motion % score)\n </td>\n </tr>\n <tr>\n <td>\n UC\n </td>\n <td>\n 10.8 (21.2)\n </td>\n <td>\n 9.5 (19.6)\n </td>\n <td>\n 6.4 (16.7)\n </td>\n <td>\n 9.8 (22.4)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n MLP\n </td>\n <td>\n 14.7 (24.1)\n </td>\n <td>\n 15.2 (24.9)\n </td>\n <td>\n 14.7 (25.1)\n </td>\n <td>\n 14.4 (25.9)\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Side\n \n </td>\n <td>\n \n Organ\n \n </td>\n <td>\n \n Direction\n \n </td>\n <td colspan=\"6\">\n \n Age (months)\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td colspan=\"2\">\n \n 3~5\n \n </td>\n <td colspan=\"2\">\n \n 6~8\n \n </td>\n <td colspan=\"2\">\n \n 9~11\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Non-Cued\n </td>\n <td>\n Eye\n </td>\n <td>\n Left\n </td>\n <td>\n 1004.8\n </td>\n <td>\n (231.2)\n </td>\n <td>\n 965.2\n </td>\n <td>\n (176.0)\n </td>\n <td>\n 813.2\n </td>\n <td>\n (238.4)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Right\n </td>\n <td>\n 821.5\n </td>\n <td>\n (214.3)\n </td>\n <td>\n 939.7\n </td>\n <td>\n (179.0)\n </td>\n <td>\n 766.3\n </td>\n <td>\n (242.6)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Head\n </td>\n <td>\n Left\n </td>\n <td>\n 939.2\n </td>\n <td>\n (137.4)\n </td>\n <td>\n 1066.3\n </td>\n <td>\n (147.5)\n </td>\n <td>\n 817.5\n </td>\n <td>\n (233.4)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Right\n </td>\n <td>\n 834.1\n </td>\n <td>\n (218.4)\n </td>\n <td>\n 753.2\n </td>\n <td>\n (298.0)\n </td>\n <td>\n 616.2\n </td>\n <td>\n (217.6)\n </td>\n </tr>\n <tr>\n <td>\n Cued\n </td>\n <td>\n Eye\n </td>\n <td>\n Left\n </td>\n <td>\n 600.4\n </td>\n <td>\n (140.5)\n </td>\n <td>\n 703.7\n </td>\n <td>\n (142.7)\n </td>\n <td>\n 749.7\n </td>\n <td>\n (215.2)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Right\n </td>\n <td>\n 760.2\n </td>\n <td>\n (213.5)\n </td>\n <td>\n 805.7\n </td>\n <td>\n (61.4)\n </td>\n <td>\n 773.7\n </td>\n <td>\n (42.6)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Head\n </td>\n <td>\n Left\n </td>\n <td>\n 623.5\n </td>\n <td>\n (166.5)\n </td>\n <td>\n 738.4\n </td>\n <td>\n (140.4)\n </td>\n <td>\n 803.2\n </td>\n <td>\n (198.8)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n Right\n </td>\n <td>\n 794.4\n </td>\n <td>\n (221.7)\n </td>\n <td>\n 781.8\n </td>\n <td>\n (101.8)\n </td>\n <td>\n 767.7\n </td>\n <td>\n (47.7)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Probe set ID\n \n </td>\n <td>\n \n Mar/04\n \n </td>\n <td>\n \n Sept/04\n \n </td>\n <td>\n \n Jan/05\n \n </td>\n <td>\n \n May/05\n \n </td>\n <td>\n \n Oct/05\n \n </td>\n <td>\n \n Apr/06\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1416213_x_at\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mm.196863\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n </tr>\n <tr>\n <td>\n 1436797_a_at\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mm.196863\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n </tr>\n <tr>\n <td>\n 1448255_a_at\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mm.196863\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n </tr>\n <tr>\n <td>\n 1434589_x_at\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mm.196863\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n </tr>\n <tr>\n <td>\n 1455822_x_at\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mm.196863\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n </tr>\n <tr>\n <td>\n 1433609_s_at\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mm.196863\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n </tr>\n <tr>\n <td>\n 1453117_at\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n NA\n </td>\n <td>\n Surf2\n </td>\n <td>\n Surf2\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n NA\n </td>\n <td>\n 20931\n </td>\n <td>\n 20931\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mm.196863\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n NA\n </td>\n <td>\n Mm.6874/Mm.300594\n </td>\n <td>\n Mm.6874/Mm.300594\n </td>\n </tr>\n <tr>\n <td>\n 1427285_s_at\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Surf4\n </td>\n <td>\n Ramp2\n </td>\n <td>\n Malat1\n </td>\n <td>\n Malat1\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 20932\n </td>\n <td>\n 54409\n </td>\n <td>\n 72289\n </td>\n <td>\n 72289\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Mm.196863\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.300594\n </td>\n <td>\n Mm.298256/Mm.358667\n </td>\n <td>\n Mm.298256\n </td>\n <td>\n Mm.298256\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n N (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Age (%>60 yrs)\n </td>\n <td>\n 118 (43.5)\n </td>\n </tr>\n <tr>\n <td>\n Sex (%male)\n </td>\n <td>\n 198 (73.1)\n </td>\n </tr>\n <tr>\n <td>\n Diabetes mellitus\n </td>\n <td>\n 76 (28.0)\n </td>\n </tr>\n <tr>\n <td>\n Elective CABG\n </td>\n <td>\n 271 (100)\n </td>\n </tr>\n <tr>\n <td>\n Previous stroke\n </td>\n <td>\n 7 (2.6)\n </td>\n </tr>\n <tr>\n <td>\n Smoking\n </td>\n <td>\n 100 (36.9)\n </td>\n </tr>\n <tr>\n <td>\n Smoking (> 10/day)\n </td>\n <td>\n 91 (33.5)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n \n Probability Distribution\n \n \n </td>\n <td>\n </td>\n <td>\n \n \n Simulation Output\n \n \n </td>\n <td>\n \n \n Reference\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Treatment Efficacy\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 'Standard Treatment'\n </td>\n <td>\n Triangular\n </td>\n <td>\n 0.70 Kabul estimate\n </td>\n <td>\n 0.701\n </td>\n <td>\n Estimated from 17\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.93 [Maximum]\n </td>\n <td>\n </td>\n <td>\n Estimated from 18 and 20\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.48 [Minimum]\n </td>\n <td>\n </td>\n <td>\n Estimated from 19 and 21\n </td>\n </tr>\n <tr>\n <td>\n Intralesional SbV (\n \n a\n \n )\n </td>\n <td>\n Triangular\n </td>\n <td>\n 0.75 Kabul estimate\n </td>\n <td>\n 0.721\n </td>\n <td>\n 17†\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.91 [Maximum]\n </td>\n <td>\n </td>\n <td>\n 18†\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.50 [Minimum]\n </td>\n <td>\n </td>\n <td>\n 19‡\n </td>\n </tr>\n <tr>\n <td>\n Intramuscular SbV (\n \n b\n \n )\n </td>\n <td>\n Triangular\n </td>\n <td>\n 0.45 Kabul estimate\n </td>\n <td>\n 0.604\n </td>\n <td>\n 17\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.00 [Maximum]\n </td>\n <td>\n </td>\n <td>\n 20†\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.36 [Minimum]\n </td>\n <td>\n </td>\n <td>\n 21‡\n </td>\n </tr>\n <tr>\n <td>\n \n Treatment Compliance\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 'Standard Treatment'\n </td>\n <td>\n Triangular\n </td>\n <td>\n 0.74 Kabul estimate\n </td>\n <td>\n 0.824\n </td>\n <td>\n Estimated from 17\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.00 [Maximum]\n </td>\n <td>\n </td>\n <td>\n Estimate, not based on data\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.74 [Minimum]\n </td>\n <td>\n </td>\n <td>\n Estimated from 17\n </td>\n </tr>\n <tr>\n <td>\n Intralesional SbV (\n \n d\n \n )\n </td>\n <td>\n Triangular\n </td>\n <td>\n 0.76 Kabul estimate\n </td>\n <td>\n 0.840\n </td>\n <td>\n 17\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.00 [Maximum]\n </td>\n <td>\n </td>\n <td>\n Estimate, not based on data\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.76 [Minimum]\n </td>\n <td>\n </td>\n <td>\n 17\n </td>\n </tr>\n <tr>\n <td>\n Intramuscular SbV (\n \n e\n \n )\n </td>\n <td>\n Triangular\n </td>\n <td>\n 0.62 Kabul estimate\n </td>\n <td>\n 0.750\n </td>\n <td>\n 17\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.00 [Maximum]\n </td>\n <td>\n </td>\n <td>\n Estimate, not based on data\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n 0.62 [Minimum]\n </td>\n <td>\n </td>\n <td>\n 17\n </td>\n </tr>\n <tr>\n <td>\n \n Duration of disease (years)\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n 1.000\n </td>\n <td>\n Estimate, not based on data\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Samplings per Experiment\n \n </td>\n <td>\n \n Algorithms\n \n </td>\n <td colspan=\"2\">\n \n \n ε\n \n <sub>\n \n M\n \n </sub>\n \n </td>\n <td colspan=\"2\">\n \n \n ε\n \n <sub>\n \n S\n \n </sub>\n \n </td>\n <td colspan=\"2\">\n \n \n ε\n \n <sub>\n \n F\n \n </sub>\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n Mean\n \n </td>\n <td>\n \n STD\n \n </td>\n <td>\n \n Mean\n \n </td>\n <td>\n \n STD\n \n </td>\n <td>\n \n Mean\n \n </td>\n <td>\n \n STD\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 4\n </td>\n <td>\n LS\n </td>\n <td>\n 1.34\n </td>\n <td>\n 0.34\n </td>\n <td>\n 1.01\n </td>\n <td>\n 0.14\n </td>\n <td>\n 0.04\n </td>\n <td>\n 0.01\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n TLS\n </td>\n <td>\n 1.34\n </td>\n <td>\n 0.34\n </td>\n <td>\n 1.01\n </td>\n <td>\n 0.14\n </td>\n <td>\n 0.04\n </td>\n <td>\n 0.01\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n CTLS\n </td>\n <td>\n 1.34\n </td>\n <td>\n 0.34\n </td>\n <td>\n 1.01\n </td>\n <td>\n 0.14\n </td>\n <td>\n 0.04\n </td>\n <td>\n 0.01\n </td>\n </tr>\n <tr>\n <td>\n 8\n </td>\n <td>\n LS\n </td>\n <td>\n 0.95\n </td>\n <td>\n 0.27\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.01\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n TLS\n </td>\n <td>\n 25.03\n </td>\n <td>\n 196.73\n </td>\n <td>\n 1.01\n </td>\n <td>\n 0.15\n </td>\n <td>\n 1.06\n </td>\n <td>\n 8.42\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n CTLS\n </td>\n <td>\n 0.44\n </td>\n <td>\n 0.12\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n 12\n </td>\n <td>\n LS\n </td>\n <td>\n 0.61\n </td>\n <td>\n 0.08\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n TLS\n </td>\n <td>\n 47.53\n </td>\n <td>\n 241.86\n </td>\n <td>\n 0.92\n </td>\n <td>\n 0.31\n </td>\n <td>\n 2.49\n </td>\n <td>\n 13.07\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n CTLS\n </td>\n <td>\n 0.49\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n 16\n </td>\n <td>\n LS\n </td>\n <td>\n 0.44\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.00\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.00\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n TLS\n </td>\n <td>\n 50.96\n </td>\n <td>\n 833.28\n </td>\n <td>\n 1.02\n </td>\n <td>\n 0.20\n </td>\n <td>\n 3.11\n </td>\n <td>\n 50.06\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n CTLS\n </td>\n <td>\n 0.49\n </td>\n <td>\n 0.05\n </td>\n <td>\n 0.50\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.02\n </td>\n <td>\n 0.00\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Frequency\n \n </td>\n <td>\n \n Percentage\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Benign\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Dermatofibroma\n </td>\n <td>\n 1\n </td>\n <td>\n 1.1\n </td>\n </tr>\n <tr>\n <td>\n Digital mucinous cyst\n </td>\n <td>\n 1\n </td>\n <td>\n 1.1\n </td>\n </tr>\n <tr>\n <td>\n Epidermal cyst\n </td>\n <td>\n 9\n </td>\n <td>\n 10\n </td>\n </tr>\n <tr>\n <td>\n Median raphe cyst\n </td>\n <td>\n 1\n </td>\n <td>\n 1.1\n </td>\n </tr>\n <tr>\n <td>\n Neurofibroma\n </td>\n <td>\n 2\n </td>\n <td>\n 2.2\n </td>\n </tr>\n <tr>\n <td>\n Trichilemmal cyst\n </td>\n <td>\n 12\n </td>\n <td>\n 13.3\n </td>\n </tr>\n <tr>\n <td>\n Ganglion\n </td>\n <td>\n 1\n </td>\n <td>\n 1.1\n </td>\n </tr>\n <tr>\n <td>\n Hemangioma\n </td>\n <td>\n 1\n </td>\n <td>\n 1.1\n </td>\n </tr>\n <tr>\n <td>\n Hydrocystoma\n </td>\n <td>\n 1\n </td>\n <td>\n 1.1\n </td>\n </tr>\n <tr>\n <td>\n Leiomyoma\n </td>\n <td>\n 4\n </td>\n <td>\n 4.4\n </td>\n </tr>\n <tr>\n <td>\n Lipoma\n </td>\n <td>\n 47\n </td>\n <td>\n 52.2\n </td>\n </tr>\n <tr>\n <td>\n Lymph node\n </td>\n <td>\n 1\n </td>\n <td>\n 1.1\n </td>\n </tr>\n <tr>\n <td>\n Panniculitis\n </td>\n <td>\n 2\n </td>\n <td>\n 2.2\n </td>\n </tr>\n <tr>\n <td>\n Pilomatricoma\n </td>\n <td>\n 2\n </td>\n <td>\n 2.2\n </td>\n </tr>\n <tr>\n <td>\n Giant cell tumor\n </td>\n <td>\n 2\n </td>\n <td>\n 2.2\n </td>\n </tr>\n <tr>\n <td>\n Schwannoma\n </td>\n <td>\n 1\n </td>\n <td>\n 1.1\n </td>\n </tr>\n <tr>\n <td>\n \n Malignant\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Dermatofibrosarcoma protuberans\n </td>\n <td>\n 1\n </td>\n <td>\n 1.1\n </td>\n </tr>\n <tr>\n <td>\n Merkel cell carcinoma\n </td>\n <td>\n 1\n </td>\n <td>\n 1.1\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 90\n </td>\n <td>\n 100.0\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n No. of TUs/pairs with alternative splicing\n \n </td>\n <td>\n \n Total TUs/pairs\n \n </td>\n <td>\n \n Proportion (percent)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n All annotated genes\n </td>\n <td>\n 1,764\n </td>\n <td>\n 15,214\n </td>\n <td>\n 11.59\n </td>\n </tr>\n <tr>\n <td>\n \n Trans\n \n -NAT pairs\n </td>\n <td>\n 130\n </td>\n <td>\n 658\n </td>\n <td>\n 19.76\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Sex\n \n </td>\n <td>\n \n Age\n \n </td>\n <td>\n \n Estimated τ\n \n </td>\n <td>\n \n Asymptotic Standard Error\n \n </td>\n <td>\n \n Asymptotic 95% CI\n \n </td>\n <td>\n \n rr\n <sub>\n ∞\n </sub>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Male\n </td>\n <td>\n < 50\n </td>\n <td>\n 63\n </td>\n <td>\n 60\n </td>\n <td>\n -60 – 186\n </td>\n <td>\n 0.427\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 50 – 59\n </td>\n <td>\n 110\n </td>\n <td>\n 22\n </td>\n <td>\n 64 – 156\n </td>\n <td>\n 0.355\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 60 – 69\n </td>\n <td>\n 150\n </td>\n <td>\n 16\n </td>\n <td>\n 117 – 184\n </td>\n <td>\n 0.357\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 70 – 79\n </td>\n <td>\n 187\n </td>\n <td>\n 22\n </td>\n <td>\n 143 – 231\n </td>\n <td>\n 0.397\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n ≥ 80\n </td>\n <td>\n 202\n </td>\n <td>\n 57\n </td>\n <td>\n 86 – 318\n </td>\n <td>\n 0.553\n </td>\n </tr>\n <tr>\n <td>\n Female\n </td>\n <td>\n < 50\n </td>\n <td>\n 101\n </td>\n <td>\n 143\n </td>\n <td>\n -191 – 393\n </td>\n <td>\n 0.595\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 50 – 59\n </td>\n <td>\n 71\n </td>\n <td>\n 31\n </td>\n <td>\n 7 – 134\n </td>\n <td>\n 0.431\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 60 – 69\n </td>\n <td>\n 132\n </td>\n <td>\n 22\n </td>\n <td>\n 88 – 176\n </td>\n <td>\n 0.398\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 70 – 79\n </td>\n <td>\n 146\n </td>\n <td>\n 21\n </td>\n <td>\n 103 – 190\n </td>\n <td>\n 0.407\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n ≥ 80\n </td>\n <td>\n 190\n </td>\n <td>\n 52\n </td>\n <td>\n 84 – 296\n </td>\n <td>\n 0.553\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"3\">\n \n MDAH 2774 (%)\n \n </td>\n <td colspan=\"3\">\n \n OVCA 420 (%)\n \n </td>\n <td colspan=\"3\">\n \n IOSE 80 (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n G1\n </td>\n <td>\n \n S\n \n </td>\n <td>\n G2M\n </td>\n <td>\n G1\n </td>\n <td>\n \n S\n \n </td>\n <td>\n G2M\n </td>\n <td>\n G1\n </td>\n <td>\n \n S\n \n </td>\n <td>\n G2M\n </td>\n </tr>\n <tr>\n <td>\n PBS\n </td>\n <td>\n 72.2 ± 10.5\n </td>\n <td>\n 20.4 ± 9.3\n </td>\n <td>\n 7.3 ± 1.5\n </td>\n <td>\n 68.2 ± 4.9\n </td>\n <td>\n 21.7 ± 5.2\n </td>\n <td>\n 10.0 ± 1.6\n </td>\n <td>\n 40.2 ± 1.4\n </td>\n <td>\n 42.0 ± 2.6\n </td>\n <td>\n 18.0 ± 1.6\n </td>\n </tr>\n <tr>\n <td>\n Ad-Luc\n </td>\n <td>\n 52.5 ± 6.2\n </td>\n <td>\n 25.2 ± 3.0\n </td>\n <td>\n 22.2 ± 3.3\n </td>\n <td>\n 68.2 ± 6.3\n </td>\n <td>\n 13.1 ± 2.3\n </td>\n <td>\n 18.2 ± 4.6\n </td>\n <td>\n 55.3 ± 2.2\n </td>\n <td>\n 26.3 ± 1.2\n </td>\n <td>\n 19.0 ± 1.5\n </td>\n </tr>\n <tr>\n <td>\n Ad-mda7\n </td>\n <td>\n 243 ± 38\n </td>\n <td>\n 27.0 ± 14.6\n </td>\n <td>\n 50.2 ± 16.4\n </td>\n <td>\n 57.0 ± 4.8\n </td>\n <td>\n 14.4 ± 2.4\n </td>\n <td>\n 29.0 ± 4.2\n </td>\n <td>\n 48.8 ± 3.6\n </td>\n <td>\n 28.6 ± 2.1\n </td>\n <td>\n 23.0 ± 2.5\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n \n Cam/CML\n \n name\n \n </td>\n <td colspan=\"7\">\n \n Number of ESTs identified\n \n </td>\n <td>\n \n \n Cam/CML\n \n name\n \n </td>\n <td colspan=\"7\">\n \n Number of ESTs identified\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n leaf\n \n </td>\n <td>\n \n root\n \n </td>\n <td>\n \n panicle\n \n </td>\n <td>\n \n seed\n \n </td>\n <td>\n \n callus\n \n </td>\n <td>\n \n others\n \n </td>\n <td>\n \n Total\n \n </td>\n <td>\n </td>\n <td>\n \n leaf\n \n </td>\n <td>\n \n root\n \n </td>\n <td>\n \n panicle\n \n </td>\n <td>\n \n seed\n \n </td>\n <td>\n \n callus\n \n </td>\n <td>\n \n others\n \n </td>\n <td>\n \n Total\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n OsCam1-1\n \n </td>\n <td>\n 106\n </td>\n <td>\n 17\n </td>\n <td>\n 49\n </td>\n <td>\n 6\n </td>\n <td>\n 14\n </td>\n <td>\n 89\n </td>\n <td>\n 281\n </td>\n <td>\n \n OsCML15\n \n </td>\n <td>\n 5\n </td>\n <td>\n 1\n </td>\n <td>\n 8\n </td>\n <td>\n -\n </td>\n <td>\n 3\n </td>\n <td>\n 37\n </td>\n <td>\n 54\n </td>\n </tr>\n <tr>\n <td>\n \n OsCam1-2\n \n </td>\n <td>\n 34\n </td>\n <td>\n 13\n </td>\n <td>\n 17\n </td>\n <td>\n 7\n </td>\n <td>\n 11\n </td>\n <td>\n 38\n </td>\n <td>\n 120\n </td>\n <td>\n \n OsCML16\n \n </td>\n <td>\n 20\n </td>\n <td>\n 8\n </td>\n <td>\n 12\n </td>\n <td>\n 2\n </td>\n <td>\n 1\n </td>\n <td>\n 43\n </td>\n <td>\n 86\n </td>\n </tr>\n <tr>\n <td>\n \n OsCam1-3\n \n </td>\n <td>\n 21\n </td>\n <td>\n 5\n </td>\n <td>\n 9\n </td>\n <td>\n -\n </td>\n <td>\n 9\n </td>\n <td>\n 15\n </td>\n <td>\n 59\n </td>\n <td>\n \n OsCML17\n \n </td>\n <td>\n 1\n </td>\n <td>\n -\n </td>\n <td>\n 10\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 6\n </td>\n <td>\n 17\n </td>\n </tr>\n <tr>\n <td>\n \n OsCam2\n \n </td>\n <td>\n 35\n </td>\n <td>\n 7\n </td>\n <td>\n 25\n </td>\n <td>\n 5\n </td>\n <td>\n 17\n </td>\n <td>\n 36\n </td>\n <td>\n 125\n </td>\n <td>\n \n OsCML18\n \n </td>\n <td>\n 11\n </td>\n <td>\n 2\n </td>\n <td>\n 88\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n 17\n </td>\n <td>\n 119\n </td>\n </tr>\n <tr>\n <td>\n \n OsCam3\n \n </td>\n <td>\n 57\n </td>\n <td>\n 5\n </td>\n <td>\n 30\n </td>\n <td>\n 6\n </td>\n <td>\n 23\n </td>\n <td>\n 29\n </td>\n <td>\n 150\n </td>\n <td>\n \n OsCML19\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML1\n \n </td>\n <td>\n 30\n </td>\n <td>\n -\n </td>\n <td>\n 4\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 6\n </td>\n <td>\n 43\n </td>\n <td>\n \n OsCML20\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 7\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 2\n </td>\n <td>\n 9\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML2\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n \n OsCML21\n \n </td>\n <td>\n -\n </td>\n <td>\n 2\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML3\n \n </td>\n <td>\n 61\n </td>\n <td>\n -\n </td>\n <td>\n 26\n </td>\n <td>\n 6\n </td>\n <td>\n 6\n </td>\n <td>\n 22\n </td>\n <td>\n 121\n </td>\n <td>\n \n OsCML22\n \n </td>\n <td>\n 4\n </td>\n <td>\n -\n </td>\n <td>\n 35\n </td>\n <td>\n -\n </td>\n <td>\n 2\n </td>\n <td>\n 9\n </td>\n <td>\n 50\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML4\n \n </td>\n <td>\n 20\n </td>\n <td>\n 5\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 7\n </td>\n <td>\n 38\n </td>\n <td>\n \n OsCML23\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML5\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 3\n </td>\n <td>\n \n OsCML24\n \n </td>\n <td>\n 10\n </td>\n <td>\n 4\n </td>\n <td>\n 1\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 16\n </td>\n <td>\n 31\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML6\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 0\n </td>\n <td>\n \n OsCML25\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML7\n \n </td>\n <td>\n 18\n </td>\n <td>\n -\n </td>\n <td>\n 6\n </td>\n <td>\n 4\n </td>\n <td>\n 3\n </td>\n <td>\n 33\n </td>\n <td>\n 64\n </td>\n <td>\n \n OsCML26\n \n </td>\n <td>\n 1\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML8\n \n </td>\n <td>\n 13\n </td>\n <td>\n 1\n </td>\n <td>\n 4\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n 4\n </td>\n <td>\n 23\n </td>\n <td>\n \n OsCML27\n \n </td>\n <td>\n 21\n </td>\n <td>\n 2\n </td>\n <td>\n 7\n </td>\n <td>\n 3\n </td>\n <td>\n 5\n </td>\n <td>\n 30\n </td>\n <td>\n 68\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML9\n \n </td>\n <td>\n 1\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 3\n </td>\n <td>\n 4\n </td>\n <td>\n \n OsCML28\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 2\n </td>\n <td>\n 3\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML10\n \n </td>\n <td>\n 16\n </td>\n <td>\n 7\n </td>\n <td>\n 19\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n 30\n </td>\n <td>\n 73\n </td>\n <td>\n \n OsCML29\n \n </td>\n <td>\n 6\n </td>\n <td>\n 2\n </td>\n <td>\n 1\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 4\n </td>\n <td>\n 13\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML11\n \n </td>\n <td>\n 7\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n -\n </td>\n <td>\n 2\n </td>\n <td>\n -\n </td>\n <td>\n 10\n </td>\n <td>\n \n OsCML30\n \n </td>\n <td>\n 10\n </td>\n <td>\n 13\n </td>\n <td>\n 7\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 21\n </td>\n <td>\n 55\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML12\n \n </td>\n <td>\n 3\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 1\n </td>\n <td>\n 6\n </td>\n <td>\n \n OsCML31\n \n </td>\n <td>\n 11\n </td>\n <td>\n 5\n </td>\n <td>\n 5\n </td>\n <td>\n 1\n </td>\n <td>\n 5\n </td>\n <td>\n 19\n </td>\n <td>\n 46\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML13\n \n </td>\n <td>\n 13\n </td>\n <td>\n 4\n </td>\n <td>\n 109\n </td>\n <td>\n -\n </td>\n <td>\n 4\n </td>\n <td>\n 12\n </td>\n <td>\n 142\n </td>\n <td>\n \n OsCML32\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 2\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 2\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n \n OsCML14\n \n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 2\n </td>\n <td>\n 10\n </td>\n <td>\n 12\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Questions\n \n </td>\n <td>\n \n Answer options\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Have you been vaccinated against hepatitis B ?\n </td>\n <td>\n Yes/No/I don't know\n </td>\n </tr>\n <tr>\n <td>\n Do you have any known hepatitis B infection ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Do you have any known hepatitis C infection ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Have you ever had a yellowing of the skin (known as jaundice) ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Have you ever had a blood transfusion ?\n </td>\n <td>\n Yes/No, if yes until/after 1990 ?\n </td>\n </tr>\n <tr>\n <td>\n Do you have a tattoo ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Do you have any piercing ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Do you drink alcohol ?\n </td>\n <td>\n Never/1–10/>10 glasses/week\n </td>\n </tr>\n <tr>\n <td>\n Have you ever taken illegal intravenous drugs ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Do you live with a partner in a steady relationship ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Do you work in the public health services with patient contact ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Have you been suffering from stomach aches without clear cause ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Have you been suffering from tiredness without clear cause ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Have you been suffering from muscle pains without clear cause ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n Have you been suffering from joint pains without clear cause ?\n </td>\n <td>\n Yes/No\n </td>\n </tr>\n <tr>\n <td>\n What is your ethnic origin ?\n </td>\n <td>\n White/Black/Asiatic/other, mixed\n </td>\n </tr>\n <tr>\n <td>\n Were you born in Switzerland ?\n </td>\n <td>\n Yes/No, if no specifiy:\n </td>\n </tr>\n <tr>\n <td>\n Do you permanently reside in Switzerland ?\n </td>\n <td>\n Yes/No, if no specifiy:\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Study Setting\n \n </td>\n <td>\n \n Design & Drug Regimen\n \n </td>\n <td>\n \n Outcome\n \n </td>\n <td>\n \n Status(start date-completion date)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"4\">\n Safety/Efficacy prevention trial in pregnancy\n </td>\n </tr>\n <tr>\n <td>\n Ifakara, Tanzania CDC/IHRDC-IMPACT\n </td>\n <td>\n Randomised open label, n = 1200 (400 per arm)\n <underline>\n IPT\n </underline>\n pControl: SP 2 dosesIntervention:1. SP monthly2. SP+artesunate monthly\n </td>\n <td>\n 1°: Placental parasitaemia and AEs2°: Maternal illness and parasitaemia at delivery, birth outcome (BW, Gestational age, foetal and infant health), childhood developmental milestones\n </td>\n <td>\n Recruitment concluded; ongoing follow up (01/03-ongoing)\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Safety/Efficacy Treatment trial in Pregnancy\n </td>\n </tr>\n <tr>\n <td>\n ANC at Muheza Hospital, Tanzania GMP\n </td>\n <td>\n Randomised open label, target (Phase III)n = 350 2\n <sup>\n nd\n </sup>\n or 3\n <sup>\n rd\n </sup>\n trimestersControl: SPIntervention: SP+amodiaquine, Amodiaquine+artesunate, Chloroporguanil-dapsone\n </td>\n <td>\n 1°: Treatment failure at day 28; Treatment outcome (parasite/fever clearance, parasite recrudescence)2°: Foetal viability and birth outcomes (preterm delivery, foetal death, perinatal/neonatal mortality, neonatal abnormality); maternal AE (hypoglycaemia)\n </td>\n <td>\n Recruitment completed (01/04–07/06)\n </td>\n </tr>\n <tr>\n <td>\n Shoklo Malaria Research Unit (SMRU) ANC, Thailand UNICEF-UNDP-World Bank-WHO-TDR\n </td>\n <td>\n Randomized intervention trialn = 250 2\n <sup>\n nd\n </sup>\n or 3\n <sup>\n rd\n </sup>\n trimesters Group 1: ArtesunateGroup 2: Co-artemether (artemether/lumefantrine)\n </td>\n <td>\n 1°: Treatment outcome at day 42 or at delivery (parasite/fever clearance, parasite recrudescence)2°:Gametocyte carriage; pharmacokinetic parameters; histo-pathology examination of the placenta\n </td>\n <td>\n Currently recruiting (06/02/2004–31/12/2008)\n </td>\n </tr>\n <tr>\n <td>\n BangladeshWHO\n </td>\n <td>\n Randomised controlled trialn = 684Control: placebo rectal capsuleIntervention: Artesunate rectal capsule\n </td>\n <td>\n Pregnancy outcomes\n </td>\n <td>\n Currently recruiting (10/11/2003-ongoing)\n </td>\n </tr>\n <tr>\n <td>\n Malawi; Prof Meshnick, UNC\n </td>\n <td>\n Randomised open label, n = 141 2\n <sup>\n nd\n </sup>\n or 3\n <sup>\n rd\n </sup>\n trimesters Control: SPIntervention: SP+artesunate or SP+azithromycin\n </td>\n <td>\n 1°: Parasitological failure rates; parasite clearance time; fever clearance times and incidence rate of adverse events2°: Prevalence rate of abortions; still births; peripheral parasitaemia at delivery; placental malaria and of maternal anaemia\n </td>\n <td>\n Recruitment completed (09/2003–10/2005)\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Efficacy/Pharmacokinetic trial in Pregnancy\n </td>\n </tr>\n <tr>\n <td>\n MozambiqueUCT, South Africa\n </td>\n <td>\n Non-Randomized openLabel, target n = 30 2\n <sup>\n nd\n </sup>\n or 3\n <sup>\n rd\n </sup>\n trimester pregnantHistoricalControlIntervention: SP+artesunate\n </td>\n <td>\n 1°: Pharmacokinetic parameters2°: gametocyte carriage, maternal AE & birth outcomes\n </td>\n <td>\n Currently recruiting (03/2006–09/2008)\n </td>\n </tr>\n <tr>\n <td>\n Kinshasa, DRC, NIH-NICHD\n </td>\n <td>\n Dose-equivalence trial: part of investigational new drug applicationn = 60 2\n <sup>\n nd\n </sup>\n or 3\n <sup>\n rd\n </sup>\n trimesterControl: SPIntervention: Artesunate-mefloquine combinations\n </td>\n <td>\n Pharmacokinetic parameters\n </td>\n <td>\n Recruitment completed (07/2005–12/2005)\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Pharmacovigilance: Post-marketing surveillance\n </td>\n </tr>\n <tr>\n <td>\n Tanzania, CDC\n </td>\n <td>\n Pharmacovigilance surveillance system: part of a large ongoing study to look at district wide use of ACTs 1\n <sup>\n st\n </sup>\n trimesterControl: SPIntervention: SP+Artesunate\n </td>\n <td>\n Pregnancy outcome and status of child\n </td>\n <td>\n Ongoing (2005–2007)\n </td>\n </tr>\n <tr>\n <td>\n A partnership between Novartis WHO-TDR and the Government of Zambia. [43]\n </td>\n <td>\n Pregnancy RegistryProspective active surveillance cohort.Expected n = 1600Control: SPIntervention: artemether-lumefantrine\n </td>\n <td>\n Maternal and neonatal outcomes examined\n </td>\n <td>\n Ongoing (2005)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n OR\n \n </td>\n <td>\n \n 95 % CI\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Total services (monopolies and duopolies)\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n North versus Rest\n </td>\n <td>\n 0.77\n </td>\n <td>\n 0.67 – 0.89\n </td>\n </tr>\n <tr>\n <td>\n \"District Norway\" versus Rest\n </td>\n <td>\n 0.78\n </td>\n <td>\n 0.71 – 0.86\n </td>\n </tr>\n <tr>\n <td>\n \n Monopolies\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n North versus Rest\n </td>\n <td>\n 0.73\n </td>\n <td>\n 0.62 – 0.86\n </td>\n </tr>\n <tr>\n <td>\n \"District Norway\" versus Rest\n </td>\n <td>\n 0.66\n </td>\n <td>\n 0.59 – 0.73\n </td>\n </tr>\n <tr>\n <td>\n \n Non Renal Tx\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n North versus Rest\n </td>\n <td>\n 0.28\n </td>\n <td>\n 0.09 – 0.78\n </td>\n </tr>\n <tr>\n <td>\n \"District Norway\" versus Rest\n </td>\n <td>\n 0.33\n </td>\n <td>\n 0.18 – 0.60\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n PANSS, mean ± SD\n \n </td>\n <td>\n \n Baseline (N = 67)\n \n </td>\n <td>\n \n Week 52 (n = 31)\n \n </td>\n <td>\n \n LOCF Endpoint (N = 67)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Total\n </td>\n <td>\n 65.4 ± 13.5\n </td>\n <td>\n 57.5 ± 12.7\n </td>\n <td>\n 61.7 ± 17.9\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n P\n \n < .0001\n </td>\n <td>\n \n P\n \n = .087\n </td>\n </tr>\n <tr>\n <td>\n Positive symptoms\n </td>\n <td>\n 18.1 ± 5.3\n </td>\n <td>\n 15.6 ± 4.5\n </td>\n <td>\n 17.3 ± 6.2\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n P\n \n < .0001\n </td>\n <td>\n \n P\n \n = .233\n </td>\n </tr>\n <tr>\n <td>\n Negative symptoms\n </td>\n <td>\n 17.4 ± 5.4\n </td>\n <td>\n 16.0 ± 4.4\n </td>\n <td>\n 16.1 ± 5.4\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n P\n \n = .007\n </td>\n <td>\n \n P\n \n = .071\n </td>\n </tr>\n <tr>\n <td>\n Anxiety/depression\n </td>\n <td>\n 9.1 ± 3.0\n </td>\n <td>\n 7.3 ± 2.7\n </td>\n <td>\n 8.5 ± 3.7\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n P\n \n = .002\n </td>\n <td>\n \n P\n \n = .133\n </td>\n </tr>\n <tr>\n <td>\n Disorganized thought\n </td>\n <td>\n 14.4 ± 4.1\n </td>\n <td>\n 13.4 ± 3.8\n </td>\n <td>\n 13.9 ± 4.2\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n P\n \n = .001\n </td>\n <td>\n \n P\n \n = .337\n </td>\n </tr>\n <tr>\n <td>\n Uncontrolled hostility/excitement\n </td>\n <td>\n 6.3 ± 2.4\n </td>\n <td>\n 5.3 ± 1.7\n </td>\n <td>\n 5.9 ± 2.4\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n P\n \n = .001\n </td>\n <td>\n \n P\n \n = .278\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Starvation\n \n </td>\n <td>\n \n Stress\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Catechols\n </td>\n <td>\n ↓\n </td>\n <td>\n ↑ ↑\n </td>\n </tr>\n <tr>\n <td>\n Cortisol\n </td>\n <td>\n ↓\n </td>\n <td>\n ↑ ↑\n </td>\n </tr>\n <tr>\n <td>\n Insulin\n </td>\n <td>\n ↓\n </td>\n <td>\n ↑\n </td>\n </tr>\n <tr>\n <td>\n Glucagon\n </td>\n <td>\n ↓\n </td>\n <td>\n ↑\n </td>\n </tr>\n <tr>\n <td>\n Human growth hormone\n </td>\n <td>\n ↑ ↑\n </td>\n <td>\n ↓\n </td>\n </tr>\n <tr>\n <td>\n Testosterone\n </td>\n <td>\n ↓\n </td>\n <td>\n ↓\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Urgency\n \n </td>\n <td>\n \n Number of Home visits\n \n </td>\n <td>\n \n % visit ≤ 15 min\n \n </td>\n <td>\n \n % Consultation ≤ 30 min (%)\n \n </td>\n <td>\n \n Consultation ≤ 60 min (%)\n \n </td>\n <td>\n \n Consultation ≤ 120 min (%)**\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n U1\n </td>\n <td>\n 205\n </td>\n <td>\n <underline>\n 68.8*\n </underline>\n </td>\n <td>\n 95.6\n </td>\n <td>\n 98.5\n </td>\n <td>\n 100\n </td>\n </tr>\n <tr>\n <td>\n U2\n </td>\n <td>\n 1613\n </td>\n <td>\n 41.2\n </td>\n <td>\n 76.6\n </td>\n <td>\n <underline>\n 95.6*\n </underline>\n </td>\n <td>\n 99.6\n </td>\n </tr>\n <tr>\n <td>\n U3\n </td>\n <td>\n 1915\n </td>\n <td>\n 29.8\n </td>\n <td>\n 61.4\n </td>\n <td>\n 89.8\n </td>\n <td>\n <underline>\n 98.4*\n </underline>\n </td>\n </tr>\n <tr>\n <td>\n U4\n </td>\n <td>\n 1845\n </td>\n <td>\n 23.6\n </td>\n <td>\n 56.3\n </td>\n <td>\n 84.3\n </td>\n <td>\n 97.3\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 5578\n </td>\n <td>\n 32.5\n </td>\n <td>\n 65.4\n </td>\n <td>\n 88.7\n </td>\n <td>\n 98.6\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td colspan=\"5\">\n \n SI Joints: Inflammatory Lesions (four quadrants)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n Suspected Early AS Patients\n </td>\n <td colspan=\"2\">\n Confirmed AS Patients\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Patients\n </td>\n <td>\n Lesions\n </td>\n <td>\n Patients\n </td>\n <td>\n Lesions\n </td>\n </tr>\n <tr>\n <td>\n Superior Ileal\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 5\n </td>\n <td>\n 8\n </td>\n </tr>\n <tr>\n <td>\n Inferior Ileal\n </td>\n <td>\n 8\n </td>\n <td>\n 13\n </td>\n <td>\n 8\n </td>\n <td>\n 16\n </td>\n </tr>\n <tr>\n <td>\n Superior Sacral\n </td>\n <td>\n 3\n </td>\n <td>\n 3\n </td>\n <td>\n 6\n </td>\n <td>\n 9\n </td>\n </tr>\n <tr>\n <td>\n Inferior Sacral\n </td>\n <td>\n 6\n </td>\n <td>\n 8\n </td>\n <td>\n 10\n </td>\n <td>\n 15\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n \n SI Joints\n \n : Fatty Replacement of Bone Marrow (four quadrants)\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n Suspected Early AS Patients\n </td>\n <td colspan=\"2\">\n Confirmed AS Patients\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Patients\n </td>\n <td>\n Lesions\n </td>\n <td>\n Patients\n </td>\n <td>\n Lesions\n </td>\n </tr>\n <tr>\n <td>\n Superior Ileal\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n Inferior Ileal\n </td>\n <td>\n 3\n </td>\n <td>\n 4\n </td>\n <td>\n 6\n </td>\n <td>\n 10\n </td>\n </tr>\n <tr>\n <td>\n Superior Sacral\n </td>\n <td>\n 3\n </td>\n <td>\n 3\n </td>\n <td>\n 6\n </td>\n <td>\n 9\n </td>\n </tr>\n <tr>\n <td>\n Inferior Sacral\n </td>\n <td>\n 4\n </td>\n <td>\n 5\n </td>\n <td>\n 9\n </td>\n <td>\n 17\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n \n Spine\n \n : Inflammatory Lesions\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n Suspected Early AS Patients\n </td>\n <td colspan=\"2\">\n Confirmed AS Patients\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Patients\n </td>\n <td>\n Lesions\n </td>\n <td>\n Patients\n </td>\n <td>\n Lesions\n </td>\n </tr>\n <tr>\n <td>\n C-Spine (C2/3-C7/T1)\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 3\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n Upper T-Spine (T1/2-T6/7)\n </td>\n <td>\n 3\n </td>\n <td>\n 6\n </td>\n <td>\n 6\n </td>\n <td>\n 17\n </td>\n </tr>\n <tr>\n <td>\n Lower T-Spine (T7/8-T12/L1)\n </td>\n <td>\n 7\n </td>\n <td>\n 15\n </td>\n <td>\n 9\n </td>\n <td>\n 21\n </td>\n </tr>\n <tr>\n <td>\n L-Spine (L1/2-L5/S1)\n </td>\n <td>\n 4\n </td>\n <td>\n 5\n </td>\n <td>\n 8\n </td>\n <td>\n 18\n </td>\n </tr>\n <tr>\n <td colspan=\"5\">\n \n Shoulder/pelvic girdle and anterior chest wall\n \n : Inflammatory Lesions\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n Suspected Early AS Patients\n </td>\n <td colspan=\"2\">\n Confirmed AS Patients\n </td>\n </tr>\n <tr>\n <td>\n Sternoclavicular Joint\n </td>\n <td colspan=\"2\">\n 1\n </td>\n <td colspan=\"2\">\n 2\n </td>\n </tr>\n <tr>\n <td>\n Manubriosternal Joint\n </td>\n <td colspan=\"2\">\n 2\n </td>\n <td colspan=\"2\">\n 4\n </td>\n </tr>\n <tr>\n <td>\n Costosternal Junction\n </td>\n <td colspan=\"2\">\n 1\n </td>\n <td colspan=\"2\">\n 0\n </td>\n </tr>\n <tr>\n <td>\n Acromioclavicular Joint\n </td>\n <td colspan=\"2\">\n 0\n </td>\n <td colspan=\"2\">\n 3\n </td>\n </tr>\n <tr>\n <td>\n Glenohumeral Joint\n </td>\n <td colspan=\"2\">\n 0\n </td>\n <td colspan=\"2\">\n 0\n </td>\n </tr>\n <tr>\n <td>\n Subacromial Bursa\n </td>\n <td colspan=\"2\">\n 0\n </td>\n <td colspan=\"2\">\n 1\n </td>\n </tr>\n <tr>\n <td>\n Hip Joint\n </td>\n <td colspan=\"2\">\n 4\n </td>\n <td colspan=\"2\">\n 3\n </td>\n </tr>\n <tr>\n <td>\n Greater Trochanter\n </td>\n <td colspan=\"2\">\n 0\n </td>\n <td colspan=\"2\">\n 1\n </td>\n </tr>\n <tr>\n <td>\n Symphysis Pubis\n </td>\n <td colspan=\"2\">\n 0\n </td>\n <td colspan=\"2\">\n 1\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n n = 100\n \n </td>\n <td>\n \n n = 100\n \n </td>\n <td>\n \n n = 100\n \n </td>\n <td>\n \n n = 100\n \n </td>\n <td>\n \n n = 400\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n Adenoid Cystic Carcinoma\n \n </td>\n <td>\n \n Adrenal Cortical Ca\n \n </td>\n <td>\n \n GIST\n \n </td>\n <td>\n \n Mycosis Fungoides\n \n </td>\n <td>\n \n ALL Rare Cases\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n % case retrieval (all blocks)\n \n </td>\n <td>\n 66%\n </td>\n <td>\n 71%\n </td>\n <td>\n 82%\n </td>\n <td>\n 83%\n </td>\n <td>\n \n 76%\n \n </td>\n </tr>\n <tr>\n <td>\n \n % case retrieval (Blocks with Tumor)\n \n </td>\n <td>\n 58%\n </td>\n <td>\n 65%\n </td>\n <td>\n 72%\n </td>\n <td>\n 69%\n </td>\n <td>\n \n 66%\n \n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n SOD2 exon\n \n </td>\n <td>\n \n Primers (Top-forward primer, Middle-reverse primer, Bottom-sequencing primer)\n \n </td>\n <td>\n \n Size of amplicon\n \n </td>\n <td>\n \n Tm (C°)\n \n </td>\n <td>\n \n Mg\n <sup>\n 2++\n </sup>\n (mM)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 1&2\n </td>\n <td>\n A-GTAGCACCAGCACTAGCAGGA\n </td>\n <td>\n 713\n </td>\n <td>\n 55\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n B-AAGCGAGTTCTCCTCCCGGAGA\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n P-GTCCACTGTCGCCATTG (for exon 1)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Q-GTGGTACGCTGACTGAC (for exon 2)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n K-CCAGGTGTCGCATTCTGATGTTG\n </td>\n <td>\n 362\n </td>\n <td>\n 55\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n D-CAGTAGAGCATCTCTCCCAAATG\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n C-GAAATCTGTTCATTTGTGGGTGG\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 4\n </td>\n <td>\n E-GCTGGTCCCATTATCTAATAGC\n </td>\n <td>\n 277\n </td>\n <td>\n 55\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n F-CAATCGATTCCTACTGTGCAC\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n L-CAGTGGTTGAAAAAGTAGGAG\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n 5\n </td>\n <td>\n G-TTAGACTGAAACTGATGGTTGG\n </td>\n <td>\n 217\n </td>\n <td>\n 55\n </td>\n <td>\n 2\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n H-CATCTCAGCATAACGATCGTGG\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n M-GCAAGCCATGTATCTTTCAG\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n \n Males\n \n \n </td>\n <td colspan=\"2\">\n \n \n Females\n \n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n \n \n Mean\n \n \n </td>\n <td>\n \n \n SD\n \n \n </td>\n <td>\n \n \n Mean\n \n \n </td>\n <td>\n \n \n SD\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Digit span forward\n </td>\n <td>\n 8.40\n </td>\n <td>\n 1.96\n </td>\n <td>\n 7.83\n </td>\n <td>\n 2.10\n </td>\n </tr>\n <tr>\n <td>\n Digit span backward\n </td>\n <td>\n 4.87\n </td>\n <td>\n 1.82\n </td>\n <td>\n 5.00\n </td>\n <td>\n 1.69\n </td>\n </tr>\n <tr>\n <td>\n Spatial span forward\n </td>\n <td>\n 6.89\n </td>\n <td>\n 2.05\n </td>\n <td>\n 6.58\n </td>\n <td>\n 2.02\n </td>\n </tr>\n <tr>\n <td>\n Spatial span backward\n </td>\n <td>\n 5.87\n </td>\n <td>\n 2.19\n </td>\n <td>\n 5.92\n </td>\n <td>\n 2.17\n </td>\n </tr>\n <tr>\n <td>\n Key search forward\n </td>\n <td>\n 1.42\n </td>\n <td>\n .89\n </td>\n <td>\n 1.50\n </td>\n <td>\n .96\n </td>\n </tr>\n <tr>\n <td>\n Key search backward\n </td>\n <td>\n 1.27\n </td>\n <td>\n .85\n </td>\n <td>\n 1.46\n </td>\n <td>\n .95\n </td>\n </tr>\n <tr>\n <td>\n Key search screening\n </td>\n <td>\n 5.39\n </td>\n <td>\n .92\n </td>\n <td>\n 5.21\n </td>\n <td>\n .98\n </td>\n </tr>\n <tr>\n <td>\n SDQ Emotional symptoms\n </td>\n <td>\n 1.81\n </td>\n <td>\n 1.91\n </td>\n <td>\n 1.75\n </td>\n <td>\n 1.90\n </td>\n </tr>\n <tr>\n <td>\n SDQ Conduct problems\n </td>\n <td>\n 1.34\n </td>\n <td>\n 1.63\n </td>\n <td>\n 1.31\n </td>\n <td>\n 1.36\n </td>\n </tr>\n <tr>\n <td>\n SDQ Hyperactivity – Inattention*\n </td>\n <td>\n 3.41\n </td>\n <td>\n 2.44\n </td>\n <td>\n 2.42\n </td>\n <td>\n 2.06\n </td>\n </tr>\n <tr>\n <td>\n SDQ Peer relationship problems\n </td>\n <td>\n 1.69\n </td>\n <td>\n 1.97\n </td>\n <td>\n 1.43\n </td>\n <td>\n 1.63\n </td>\n </tr>\n <tr>\n <td>\n SDQ Prosocial behavior\n </td>\n <td>\n 8.11\n </td>\n <td>\n 1.80\n </td>\n <td>\n 8.56\n </td>\n <td>\n 1.81\n </td>\n </tr>\n <tr>\n <td>\n SWAN Inattentive*\n </td>\n <td>\n -.44\n </td>\n <td>\n .93\n </td>\n <td>\n -.92\n </td>\n <td>\n .94\n </td>\n </tr>\n <tr>\n <td>\n SWAN Hyperactive/Impulsive\n </td>\n <td>\n -.51\n </td>\n <td>\n 1.11\n </td>\n <td>\n -.86\n </td>\n <td>\n .96\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n mean\n \n </td>\n <td>\n \n Standard deviation\n \n </td>\n <td colspan=\"2\">\n \n 95% confidence interval of the difference\n \n </td>\n <td>\n \n t\n \n </td>\n <td>\n \n P-value\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n Lower\n \n </td>\n <td>\n \n Upper\n \n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Garlic\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n TG1 – TG2\n </td>\n <td>\n 13.72\n </td>\n <td>\n 78.38\n </td>\n <td>\n -8.56\n </td>\n <td>\n 36.00\n </td>\n <td>\n 1.238\n </td>\n <td>\n 0.222\n </td>\n </tr>\n <tr>\n <td>\n TC1 – TC2\n </td>\n <td>\n 26.82\n </td>\n <td>\n 33.61\n </td>\n <td>\n 17.27\n </td>\n <td>\n 36.37\n </td>\n <td>\n 5.642\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n LDL1–LDL2\n </td>\n <td>\n 22.18\n </td>\n <td>\n 31.91\n </td>\n <td>\n 13.11\n </td>\n <td>\n 31.25\n </td>\n <td>\n 4.915\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n HDL1–HDL2\n </td>\n <td>\n -10.02\n </td>\n <td>\n 10.55\n </td>\n <td>\n -13.02\n </td>\n <td>\n -7.02\n </td>\n <td>\n -6.715\n </td>\n <td>\n 0.000\n </td>\n </tr>\n <tr>\n <td>\n Anethum\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n TG1 – TG2\n </td>\n <td>\n -14.74\n </td>\n <td>\n 73.59\n </td>\n <td>\n -35.65\n </td>\n <td>\n 6.17\n </td>\n <td>\n -1.416\n </td>\n <td>\n 0.163\n </td>\n </tr>\n <tr>\n <td>\n TC1 – TC2\n </td>\n <td>\n 1.12\n </td>\n <td>\n 36.24\n </td>\n <td>\n -9.18\n </td>\n <td>\n 11.42\n </td>\n <td>\n 0.219\n </td>\n <td>\n 0.828\n </td>\n </tr>\n <tr>\n <td>\n LDL1–LDL2\n </td>\n <td>\n 9.34\n </td>\n <td>\n 51.96\n </td>\n <td>\n -5.43\n </td>\n <td>\n 24.11\n </td>\n <td>\n 1.271\n </td>\n <td>\n 0.210\n </td>\n </tr>\n <tr>\n <td>\n HDL1–HDL2\n </td>\n <td>\n 1.42\n </td>\n <td>\n 10.30\n </td>\n <td>\n -1.51\n </td>\n <td>\n 4.35\n </td>\n <td>\n 0.975\n </td>\n <td>\n 0.334\n </td>\n </tr>\n <tr>\n <td>\n Placebo\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n TG1 – TG2\n </td>\n <td>\n -4.44\n </td>\n <td>\n 30.66\n </td>\n <td>\n -13.15\n </td>\n <td>\n 4.27\n </td>\n <td>\n -1.024\n </td>\n <td>\n 0.311\n </td>\n </tr>\n <tr>\n <td>\n TC1 – TC2\n </td>\n <td>\n -4.60\n </td>\n <td>\n 21.76\n </td>\n <td>\n -10.78\n </td>\n <td>\n 1.58\n </td>\n <td>\n -1.495\n </td>\n <td>\n 0.141\n </td>\n </tr>\n <tr>\n <td>\n LDL1–LDL2\n </td>\n <td>\n -2.30\n </td>\n <td>\n 14.71\n </td>\n <td>\n -6.48\n </td>\n <td>\n 1.88\n </td>\n <td>\n -1.106\n </td>\n <td>\n 0.274\n </td>\n </tr>\n <tr>\n <td>\n HDL1–HDL2\n </td>\n <td>\n 2.14\n </td>\n <td>\n 7.90\n </td>\n <td>\n -0.10\n </td>\n <td>\n 4.38\n </td>\n <td>\n 1.916\n </td>\n <td>\n 0.061\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Attitude\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Professional attitude\n \n </td>\n </tr>\n <tr>\n <td>\n \"In this connection a comprehensive view is an attitude that enables one to cover many dimensions in an illness or sickness, it's not necessary to have all the information – a comprehensive view does not mean that one has a lot more information\"\n \n (Interview 1)\n \n </td>\n </tr>\n <tr>\n <td>\n \"I think it 's like a floating spirit that one has a kind of feeling about\"\n \n (Interview 4)\n \n </td>\n </tr>\n <tr>\n <td>\n \"For me a comprehensive view is the opposite to a partial view, it's not just giving health care, it's all about not only being an ear specialist or not only being a psychiatrist or not only an orthopaedist and seeing only those problems but it is the comprehensive view\"\n \n (Interview 4)\n \n </td>\n </tr>\n <tr>\n <td>\n \"We have like two conceptions, one including society and one about the whole person where you see not only the patient's wound but all other parts as well and that both body and soul in some way should feel all right. From there you make your professional decisions\"\n \n (Interview 7)\n \n </td>\n </tr>\n <tr>\n <td>\n \n Political/administrative attitude\n \n </td>\n </tr>\n <tr>\n <td>\n \"Yes, I must say that I have had a bit of a problem with this concept, a comprehensive view, because I have always thought of it as a prestigious word. I have never ever felt that I work with a comprehensive view, and when someone stands up and says that now we are going to work with a comprehensive view, then it has been a kind of, well bombastic talk from the director.\"\n \n (Interview 2)\n \n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Saline\n \n </td>\n <td>\n \n Saline + MS\n \n </td>\n <td>\n \n PF + MS\n \n </td>\n <td>\n \n PF\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n GFAP\n \n </td>\n <td>\n 41843.41 ±1603.904\n \n ***\n \n </td>\n <td>\n 57440.11 ±1960.131\n </td>\n <td>\n 48338.16 ±1667.994\n \n **\n \n </td>\n <td>\n 43235.54 ±1369.27\n \n ***\n \n </td>\n </tr>\n <tr>\n <td>\n \n OX42\n \n </td>\n <td>\n 50418.92 ±2441.907\n \n ***\n \n </td>\n <td>\n 79908.27 ±6287.605\n </td>\n <td>\n 55693.48 ±4137.721\n \n **\n \n </td>\n <td>\n 67083.38 ±3756.654\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Region\n \n </td>\n <td>\n \n Year of collection\n \n </td>\n <td>\n \n No.a\n \n </td>\n <td>\n \n Age (years)b\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td colspan=\"4\">\n Composite milk\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 1996\n </td>\n <td>\n 25\n </td>\n <td>\n 29 (21–41)\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 1997\n </td>\n <td>\n 69\n </td>\n <td>\n 28 (21–38)\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 1998\n </td>\n <td>\n 90\n </td>\n <td>\n 29 (22–37)\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 1999\n </td>\n <td>\n 23\n </td>\n <td>\n 28 (22–36)\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2000\n </td>\n <td>\n 30\n </td>\n <td>\n 30 (21–37)\n </td>\n </tr>\n <tr>\n <td>\n Göteborg\n </td>\n <td>\n 2001\n </td>\n <td>\n 37\n </td>\n <td>\n 30 (19–40)\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2002\n </td>\n <td>\n 31\n </td>\n <td>\n 30 (24–37)\n </td>\n </tr>\n <tr>\n <td>\n Lund\n </td>\n <td>\n 2003\n </td>\n <td>\n 37\n </td>\n <td>\n 29 (25–39)\n </td>\n </tr>\n <tr>\n <td>\n Lycksele\n </td>\n <td>\n 2003–2004\n </td>\n <td>\n 39\n </td>\n <td>\n 27 (20–36)\n </td>\n </tr>\n <tr>\n <td colspan=\"4\">\n Individual milk and serum\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 29\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 24\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 29\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 29\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 28\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 30\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 31\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 27\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 33\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 28\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 22\n </td>\n </tr>\n <tr>\n <td>\n Uppsala\n </td>\n <td>\n 2004\n </td>\n <td>\n —\n </td>\n <td>\n 29\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Genus\n \n </td>\n <td>\n \n No. of species\n \n </td>\n <td>\n \n Mean percent divergence\n \n </td>\n <td>\n \n Standard error (%)\n \n </td>\n <td>\n \n Range (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Acrodipsas\n \n </td>\n <td>\n 9\n </td>\n <td>\n 3.1\n </td>\n <td>\n 1.0\n </td>\n <td>\n 0.5 – 5.7\n </td>\n </tr>\n <tr>\n <td>\n \n Agriades\n \n </td>\n <td>\n 2\n </td>\n <td>\n 4.7\n </td>\n <td>\n </td>\n <td>\n ---\n </td>\n </tr>\n <tr>\n <td>\n \n Agrodiaetus\n \n </td>\n <td>\n 117\n </td>\n <td>\n 5.1\n </td>\n <td>\n 1.7\n </td>\n <td>\n 0 – 10.1\n </td>\n </tr>\n <tr>\n <td>\n \n Arhopala\n \n </td>\n <td>\n 30\n </td>\n <td>\n 6.8\n </td>\n <td>\n 1.7\n </td>\n <td>\n 0.4 – 12.4\n </td>\n </tr>\n <tr>\n <td>\n \n Aricia\n \n </td>\n <td>\n 7\n </td>\n <td>\n 3.4\n </td>\n <td>\n 1.9\n </td>\n <td>\n 0.2 – 7.5\n </td>\n </tr>\n <tr>\n <td>\n \n Chrysoritis\n \n </td>\n <td>\n 19\n </td>\n <td>\n 7.0\n </td>\n <td>\n 2.5\n </td>\n <td>\n 0.8 – 10.9\n </td>\n </tr>\n <tr>\n <td>\n \n Euphilotes\n \n </td>\n <td>\n 2\n </td>\n <td>\n 10.3\n </td>\n <td>\n </td>\n <td>\n ---\n </td>\n </tr>\n <tr>\n <td>\n \n Favonius\n \n </td>\n <td>\n 9\n </td>\n <td>\n 4.0\n </td>\n <td>\n 0.9\n </td>\n <td>\n 0.1 – 5.4\n </td>\n </tr>\n <tr>\n <td>\n \n Glaucopsyche\n \n </td>\n <td>\n 2\n </td>\n <td>\n 1.3\n </td>\n <td>\n </td>\n <td>\n ---\n </td>\n </tr>\n <tr>\n <td>\n \n Lycaeides\n \n </td>\n <td>\n 3\n </td>\n <td>\n 1.7\n </td>\n <td>\n 0.9\n </td>\n <td>\n 0.5 – 3.0\n </td>\n </tr>\n <tr>\n <td>\n \n Lycaena\n \n </td>\n <td>\n 9\n </td>\n <td>\n 4.5\n </td>\n <td>\n 1.1\n </td>\n <td>\n 1.2 – 6.8\n </td>\n </tr>\n <tr>\n <td>\n \n Lysandra\n \n </td>\n <td>\n 9\n </td>\n <td>\n 2.2\n </td>\n <td>\n 0.7\n </td>\n <td>\n 0.7 – 4.0\n </td>\n </tr>\n <tr>\n <td>\n \n Maculinea\n \n </td>\n <td>\n 7\n </td>\n <td>\n 2.8\n </td>\n <td>\n 1.4\n </td>\n <td>\n 0 – 6.0\n </td>\n </tr>\n <tr>\n <td>\n \n Meleageria\n \n </td>\n <td>\n 2\n </td>\n <td>\n 2.6\n </td>\n <td>\n 1.6\n </td>\n <td>\n 0.1 – 4.4\n </td>\n </tr>\n <tr>\n <td>\n \n Neolysandra\n \n </td>\n <td>\n 5\n </td>\n <td>\n 4.6\n </td>\n <td>\n 1.6\n </td>\n <td>\n 1 – 6.3\n </td>\n </tr>\n <tr>\n <td>\n \n Phengaris\n \n </td>\n <td>\n 3\n </td>\n <td>\n 3.8\n </td>\n <td>\n 2.1\n </td>\n <td>\n 1.3 – 5.1\n </td>\n </tr>\n <tr>\n <td>\n \n Plebejus\n \n </td>\n <td>\n 5\n </td>\n <td>\n 5.6\n </td>\n <td>\n 1.6\n </td>\n <td>\n 2.4 – 7.4\n </td>\n </tr>\n <tr>\n <td>\n \n Polyommatus\n \n </td>\n <td>\n 12\n </td>\n <td>\n 5.9\n </td>\n <td>\n 2.5\n </td>\n <td>\n 0.1 – 10.5\n </td>\n </tr>\n <tr>\n <td>\n \n Pseudophilotes\n \n </td>\n <td>\n 4\n </td>\n <td>\n 2.7\n </td>\n <td>\n 1.6\n </td>\n <td>\n 0.6 – 4.5\n </td>\n </tr>\n <tr>\n <td>\n \n Satyrium\n \n </td>\n <td>\n 3\n </td>\n <td>\n 4.5\n </td>\n <td>\n 0.5\n </td>\n <td>\n 4 – 4.9\n </td>\n </tr>\n <tr>\n <td>\n \n Trimenia\n \n </td>\n <td>\n 2\n </td>\n <td>\n 6.1\n </td>\n <td>\n </td>\n <td>\n ---\n </td>\n </tr>\n <tr>\n <td>\n \n Turanana\n \n </td>\n <td>\n 2\n </td>\n <td>\n 4.8\n </td>\n <td>\n </td>\n <td>\n ---\n </td>\n </tr>\n <tr>\n <td>\n \n Vacciniina\n \n </td>\n <td>\n 3\n </td>\n <td>\n 7.2\n </td>\n <td>\n 0.3\n </td>\n <td>\n 6.8 – 7.5\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n \n Outcome\n \n \n </td>\n <td>\n \n \n Single staple technique\n \n \n </td>\n <td>\n \n \n Double staple technique\n \n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Covering stoma**\n </td>\n <td>\n 51/78 (65.4%)\n </td>\n <td>\n 62/138 (45.0%)\n </td>\n </tr>\n <tr>\n <td>\n Blood loss\n </td>\n <td>\n Data not available\n </td>\n <td>\n 300 cc\n <sup>\n #\n </sup>\n (50–1800)\n </td>\n </tr>\n <tr>\n <td>\n Blood replaced (units/case)\n </td>\n <td>\n Data not available\n </td>\n <td>\n 0.3 (0–4 units)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Nonmetastatic LC patients (n=19)\n \n </td>\n <td>\n \n Metastatic LC patients (n=20)\n \n </td>\n <td>\n \n \n P\n \n value\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Total cholesterol (mg/dl)\n </td>\n <td>\n 169.7 ± 57.6\n </td>\n <td>\n 160.7 ± 42.7\n </td>\n <td>\n 0.66\n </td>\n </tr>\n <tr>\n <td>\n LDL cholesterol (mg/dl)\n </td>\n <td>\n 115.3 ± 45.8\n </td>\n <td>\n 116.6 ± 40.1\n </td>\n <td>\n 0.94\n </td>\n </tr>\n <tr>\n <td>\n HDL cholesterol (mg/dl)\n </td>\n <td>\n 38.8 ± 28.5\n </td>\n <td>\n 31.1 ± 8.1\n </td>\n <td>\n 0.62\n </td>\n </tr>\n <tr>\n <td>\n Triglyceride (mg/dl)\n </td>\n <td>\n 149.9 ± 55.7\n </td>\n <td>\n 133.2 ± 52.4\n </td>\n <td>\n 0.41\n </td>\n </tr>\n <tr>\n <td>\n PON1 (U/mL)\n </td>\n <td>\n 245.6 ± 115.7\n </td>\n <td>\n 259.5 ± 94.9\n </td>\n <td>\n 0.70\n </td>\n </tr>\n <tr>\n <td>\n ARE (U/L)\n </td>\n <td>\n 120 ± 47\n </td>\n <td>\n 153.9 ± 62.9\n </td>\n <td>\n 0.09\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Duration of the whelping (hrs)\n \n </td>\n <td>\n \n No. of litters\n \n </td>\n <td>\n \n Stillborn pups/total no. of pups\n \n </td>\n <td>\n \n Stillborn pups (%)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n ≤ 5\n </td>\n <td>\n 84\n </td>\n <td>\n 20/481\n </td>\n <td>\n 4.2\n </td>\n </tr>\n <tr>\n <td>\n > 5\n </td>\n <td>\n 84\n </td>\n <td>\n 67/622\n </td>\n <td>\n 10.8\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Province\n \n </td>\n <td>\n \n Total population\n \n </td>\n <td>\n \n Population exposed\n \n </td>\n <td>\n \n Percentage of the total population (province level)\n \n </td>\n <td>\n \n Percentage of the total population (country level)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Tehran\n </td>\n <td>\n 12,030,891\n </td>\n <td>\n 7,547,300\n </td>\n <td>\n 63\n </td>\n <td>\n 19\n </td>\n </tr>\n <tr>\n <td>\n Khuzestan\n </td>\n <td>\n 4,281,555\n </td>\n <td>\n 3,311,495\n </td>\n <td>\n 77\n </td>\n <td>\n 8\n </td>\n </tr>\n <tr>\n <td>\n East Azarbayejan\n </td>\n <td>\n 3,837,415\n </td>\n <td>\n 3,051,983\n </td>\n <td>\n 80\n </td>\n <td>\n 8\n </td>\n </tr>\n <tr>\n <td>\n Mazandaran\n </td>\n <td>\n 3,023,111\n </td>\n <td>\n 2,661,996\n </td>\n <td>\n 88\n </td>\n <td>\n 7\n </td>\n </tr>\n <tr>\n <td>\n Gilan\n </td>\n <td>\n 2,574,801\n </td>\n <td>\n 2,284,661\n </td>\n <td>\n 89\n </td>\n <td>\n 6\n </td>\n </tr>\n <tr>\n <td>\n Khorasan\n </td>\n <td>\n 7,026,625\n </td>\n <td>\n 2,228,333\n </td>\n <td>\n 32\n </td>\n <td>\n 6\n </td>\n </tr>\n <tr>\n <td>\n Fars\n </td>\n <td>\n 4,439,231\n </td>\n <td>\n 2,091,992\n </td>\n <td>\n 47\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n West Azarbayejan\n </td>\n <td>\n 2,899,891\n </td>\n <td>\n 1,824,729\n </td>\n <td>\n 63\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n Kermansha\n </td>\n <td>\n 2,064,701\n </td>\n <td>\n 1,553,533\n </td>\n <td>\n 75\n </td>\n <td>\n 4\n </td>\n </tr>\n <tr>\n <td>\n Golestan\n </td>\n <td>\n 1,652,543\n </td>\n <td>\n 1,442,763\n </td>\n <td>\n 87\n </td>\n <td>\n 4\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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{
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n <underline>\n Treatment\n </underline>\n \n </td>\n <td>\n \n <underline>\n Placebo\n </underline>\n \n </td>\n <td>\n \n <underline>\n P value\n </underline>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n n (female/male)\n </td>\n <td>\n 35 (22/13)\n </td>\n <td>\n 40 (28/12)\n </td>\n <td>\n 0.513\n </td>\n </tr>\n <tr>\n <td>\n Age (yr)\n </td>\n <td>\n 44.5 ± 2.2\n </td>\n <td>\n 45.3 ± 2.0\n </td>\n <td>\n 0.796\n </td>\n </tr>\n <tr>\n <td>\n Blood pressure (systolic/diastolic, mmHg)\n </td>\n <td>\n 121/69 ± 2.2/1.4\n </td>\n <td>\n 121.6/67.1 ± 1.9/1.5\n </td>\n <td>\n 0.868/0.760\n </td>\n </tr>\n <tr>\n <td>\n Weight (kg)\n </td>\n <td>\n 81.8 ± 2.8\n </td>\n <td>\n 79.6 ± 2.9\n </td>\n <td>\n 0.598\n </td>\n </tr>\n <tr>\n <td>\n Total Cholesterol (mmol/L)\n </td>\n <td>\n 6.2 ± 0.1\n </td>\n <td>\n 6.2 ± 0.1\n </td>\n <td>\n 0.976\n </td>\n </tr>\n <tr>\n <td>\n Triglyceride (mmol/L)*\n </td>\n <td>\n 1.9 ± 0.1\n </td>\n <td>\n 1.9 ± 0.2\n </td>\n <td>\n 0.989\n </td>\n </tr>\n <tr>\n <td>\n HDL cholesterol (mmol/L)\n </td>\n <td>\n 1.4 ± 0.06\n </td>\n <td>\n 1.3 ± 0.05\n </td>\n <td>\n 0.806\n </td>\n </tr>\n <tr>\n <td>\n LDL cholesterol (mmol/L)**\n </td>\n <td>\n 4.1 ± 0.1\n </td>\n <td>\n 4.2 ± 0.1\n </td>\n <td>\n 0.651\n </td>\n </tr>\n <tr>\n <td>\n Cholesterol/HDL ratio\n </td>\n <td>\n 4.8 ± 0.2\n </td>\n <td>\n 4.8 ± 0.2\n </td>\n <td>\n 0.981\n </td>\n </tr>\n <tr>\n <td>\n C-Reactive protein (mg/dL)\n </td>\n <td>\n 0.35 ± 0.08\n </td>\n <td>\n 0.38 ± .06\n </td>\n <td>\n 0.817\n </td>\n </tr>\n <tr>\n <td>\n Homocysteine (μmol/L)\n </td>\n <td>\n 8.0 ± 0.3\n </td>\n <td>\n 7.9 ± 0.3\n </td>\n <td>\n 0.861\n </td>\n </tr>\n <tr>\n <td>\n Insulin (pmol/L)\n </td>\n <td>\n 56.2 ± 4.2\n </td>\n <td>\n 68.1 ± 9.0\n </td>\n <td>\n 0.273\n </td>\n </tr>\n <tr>\n <td>\n Glucose (mmol/L)\n </td>\n <td>\n 5.4 ± 0.3\n </td>\n <td>\n 5.3 ± 0.1\n </td>\n <td>\n 0.840\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Total AFC\n \n </td>\n <td>\n \n Sensitivity\n \n </td>\n <td>\n \n Specificity\n \n </td>\n <td>\n \n PPV\n \n </td>\n <td>\n \n Accuracy\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n < 4\n </td>\n <td>\n 0.21\n </td>\n <td>\n 0.99\n </td>\n <td>\n 0.86\n </td>\n <td>\n 0.78\n </td>\n </tr>\n <tr>\n <td>\n < 5\n </td>\n <td>\n 0.28\n </td>\n <td>\n 0.99\n </td>\n <td>\n 0.89\n </td>\n <td>\n 0.80\n </td>\n </tr>\n <tr>\n <td>\n \n < 6\n \n </td>\n <td>\n \n 0.41\n \n </td>\n <td>\n \n 0.95\n \n </td>\n <td>\n \n 0.75\n \n </td>\n <td>\n \n 0.89\n \n </td>\n </tr>\n <tr>\n <td>\n < 7\n </td>\n <td>\n 0.69\n </td>\n <td>\n 0.80\n </td>\n <td>\n 0.56\n </td>\n <td>\n 0.77\n </td>\n </tr>\n <tr>\n <td>\n < 8\n </td>\n <td>\n 0.76\n </td>\n <td>\n 0.74\n </td>\n <td>\n 0.51\n </td>\n <td>\n 0.75\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td colspan=\"2\">\n \n Integration-Driven Discovery Rate\n \n </td>\n <td colspan=\"2\">\n \n Integration-Driven Revision Rate\n \n </td>\n <td colspan=\"2\">\n \n Posterior Expected FDR\n \n </td>\n </tr>\n <tr>\n <td>\n \n \n γ\n \n \n </td>\n <td>\n \n SEI\n \n </td>\n <td>\n \n PI\n \n </td>\n <td>\n \n SEI\n \n </td>\n <td>\n \n PI\n \n </td>\n <td>\n \n SEI\n \n </td>\n <td>\n \n PI\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n 0.995\n \n </td>\n <td>\n 51.1%\n </td>\n <td>\n 64.6%\n </td>\n <td>\n 32.4%\n </td>\n <td>\n 14.7%\n </td>\n <td>\n 0.0008\n </td>\n <td>\n 0.0004\n </td>\n </tr>\n <tr>\n <td>\n \n 0.99\n \n </td>\n <td>\n 46.3%\n </td>\n <td>\n 61.4%\n </td>\n <td>\n 28.2%\n </td>\n <td>\n 12.7%\n </td>\n <td>\n 0.002\n </td>\n <td>\n 0.001\n </td>\n </tr>\n <tr>\n <td>\n \n 0.95\n \n </td>\n <td>\n 35.7%\n </td>\n <td>\n 37.9%\n </td>\n <td>\n 20.3%\n </td>\n <td>\n 8.9%\n </td>\n <td>\n 0.013\n </td>\n <td>\n 0.007\n </td>\n </tr>\n <tr>\n <td>\n \n 0.90\n \n </td>\n <td>\n 26.7%\n </td>\n <td>\n 27.1%\n </td>\n <td>\n 7.1%\n </td>\n <td>\n 3.1%\n </td>\n <td>\n 0.022\n </td>\n <td>\n 0.014\n </td>\n </tr>\n <tr>\n <td>\n \n 0.50\n \n </td>\n <td>\n 4.7%\n </td>\n <td>\n 7.1%\n </td>\n <td>\n 12.4%\n </td>\n <td>\n 8.6%\n </td>\n <td>\n 0.098\n </td>\n <td>\n 0.085\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Score\n \n </td>\n <td>\n \n c-met (\n \n n\n \n = 142)\n \n </td>\n <td>\n \n E-cad (\n \n n\n \n = 149)\n \n </td>\n <td>\n \n Sdc1 (\n \n n\n \n = 150)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n 0\n </td>\n <td>\n 10 (7)\n </td>\n <td>\n 11 (7.4)\n </td>\n <td>\n 4 (2.7)\n </td>\n </tr>\n <tr>\n <td>\n 1\n </td>\n <td>\n 63 (44.4)\n </td>\n <td>\n 37 (24.8)\n </td>\n <td>\n 38 (25.3)\n </td>\n </tr>\n <tr>\n <td>\n 2\n </td>\n <td>\n 51 (35.9)\n </td>\n <td>\n 89 (59.7)\n </td>\n <td>\n 103 (68.7)\n </td>\n </tr>\n <tr>\n <td>\n 3\n </td>\n <td>\n 18 (12.7)\n </td>\n <td>\n 12 (8.1)\n </td>\n <td>\n 5 (3.3)\n </td>\n </tr>\n <tr>\n <td>\n Negative (score 0–1)\n </td>\n <td>\n 73(51.4)\n </td>\n <td>\n 48 (32.2)\n </td>\n <td>\n 42 (28)\n </td>\n </tr>\n <tr>\n <td>\n Positive (score 2–3)\n </td>\n <td>\n 69 (48.6)\n </td>\n <td>\n 101 (67.8)\n </td>\n <td>\n 108 (72)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Antibody\n \n </td>\n <td>\n \n Staining\n \n </td>\n <td>\n \n \n n\n \n \n </td>\n <td>\n \n MIP-1β median\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n MIP-1β minimum\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n MIP-1β maximum\n <sup>\n a\n </sup>\n \n </td>\n <td>\n \n \n P\n \n <sup>\n b\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n CD3\n </td>\n <td>\n 0\n </td>\n <td>\n 54\n </td>\n <td>\n 472.5\n </td>\n <td>\n 42.6\n </td>\n <td>\n 12835\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1\n </td>\n <td>\n 36\n </td>\n <td>\n 560.7\n </td>\n <td>\n 44.6\n </td>\n <td>\n 10685\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2\n </td>\n <td>\n 11\n </td>\n <td>\n 2702\n </td>\n <td>\n 274.5\n </td>\n <td>\n 14439\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3\n </td>\n <td>\n 4\n </td>\n <td>\n 6757\n </td>\n <td>\n 1226\n </td>\n <td>\n 13287\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n CD20\n </td>\n <td>\n 0\n </td>\n <td>\n 74\n </td>\n <td>\n 495.9\n </td>\n <td>\n 42.6\n </td>\n <td>\n 14439\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1\n </td>\n <td>\n 27\n </td>\n <td>\n 745.3\n </td>\n <td>\n 44.6\n </td>\n <td>\n 10685\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2\n </td>\n <td>\n 3\n </td>\n <td>\n 4394\n </td>\n <td>\n 1226\n </td>\n <td>\n 9121\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3\n </td>\n <td>\n 1\n </td>\n <td>\n 13287\n </td>\n <td>\n 13287\n </td>\n <td>\n 13287\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n CD68\n </td>\n <td>\n 0\n </td>\n <td>\n 5\n </td>\n <td>\n 342.4\n </td>\n <td>\n 223.4\n </td>\n <td>\n 498.7\n </td>\n <td>\n < 0.0001\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 1\n </td>\n <td>\n 59\n </td>\n <td>\n 458\n </td>\n <td>\n 42.6\n </td>\n <td>\n 12835\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 2\n </td>\n <td>\n 32\n </td>\n <td>\n 739.8\n </td>\n <td>\n 134.3\n </td>\n <td>\n 14439\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n 3\n </td>\n <td>\n 9\n </td>\n <td>\n 3095\n </td>\n <td>\n 589.3\n </td>\n <td>\n 13287\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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length, satisfaction\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n Breastfeeding: length and experience at work with breastfeeding or expressing milk and facilities at work\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n \n Work-related factors:\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Work characteristics: function, number of working hours a week, working days, physical demands, extra work, travel time, shift work, adaptation of working hours or work tasks and work satisfaction\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Decision authority, skill discretion, psychological demands, social support of executive and colleges; Job Content Questionnaire [32,33]\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Total workload; hours a week spend on household, gardening, cycling, walking, biking, sport and odd jobs\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n Looking forward to returning to work\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Work performance; World Health Organization Health and Work Performance Questionnaire (HPQ) [34], also be measured at 18, 30, 36, 42, and 48 weeks after delivery (see outcome assessments, costs)\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n \n Child-related factors:\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Rang order child\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Birth weight child\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Health of child\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n Temperament of child; Childcare Stress Inventory [35,36]\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Childcare: childcare arrangement and changes in childcare during past year\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n \n Psycho-Social factors:\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Daily hassles; short version of the Everyday Problems Checklist (EPCL) [37,38]\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Social support of supervisor, colleagues, spouse, family and friends; Social Support List [39-41]\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n Norms about childcare and work; statements from a report of The Netherlands Interdisciplinary Demographic Institute NIDI [42]\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n Coping; Utrecht Coping List (UCL) [43,44]\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Locus of health control; Multidimensional Health Locus of Control List (MHLCL) [45].\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Life events\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n Difficulty of leaving child at home or day-care, when the mother is working\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n \n Health-related factors:\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Body weight and body height\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n Smoking behaviour and alcohol intake\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Sleep quality\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n Co-existent chronic diseases\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n (pregnancy-related) pelvic girdle pain (see outcome cohort study)\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n PPGP aspects: pain during rest, pain at beginning of movement, pain peak, diagnosis and treatment\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Fatigue (see outcome cohort study)\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n Depression (see outcome cohort study)\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n <td>\n x\n </td>\n </tr>\n <tr>\n <td>\n Pain catastrophizing; Pain Catastrophizing Scale (PCS) [46,47]\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Fear of movement; Tampa scale of Kinesiophopbia (TSK) [48]\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n x\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Number of cases (%)\n \n </td>\n <td>\n \n Number of cases with CHE (%) before insurance\n \n </td>\n <td>\n \n Number of cases with CHE (%) after insurance\n \n </td>\n <td>\n \n Probability of experiencing CHE before insurance (95% CI)\n \n </td>\n <td>\n \n Probability of experiencing CHE after insurance (95% CI)\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Provider\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Private\n </td>\n <td>\n 2711 (86%)\n </td>\n <td>\n 1339 (89%)\n </td>\n <td>\n 640 (90%)\n </td>\n <td>\n 49% (47, 51)\n </td>\n <td>\n 24% (22, 25)\n </td>\n </tr>\n <tr>\n <td>\n NGO\n </td>\n <td>\n 204 (6%)\n </td>\n <td>\n 74 (5%)\n </td>\n <td>\n 41 (6%)\n </td>\n <td>\n 36% (30, 43)\n </td>\n <td>\n 20% (15, 26)\n </td>\n </tr>\n <tr>\n <td>\n Government\n </td>\n <td>\n 236 (8%)\n </td>\n <td>\n 84 (6%)\n </td>\n <td>\n 30 (4%)\n </td>\n <td>\n 35% (29, 42)\n </td>\n <td>\n 13% (9, 18)\n </td>\n </tr>\n <tr>\n <td>\n \n Annual household income\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Q1\n </td>\n <td>\n 928 (31%)\n </td>\n <td>\n 845 (56%)\n </td>\n <td>\n 396 (57%)\n </td>\n <td>\n 91% (89, 93)\n </td>\n <td>\n 43% (39, 46)\n </td>\n </tr>\n <tr>\n <td>\n Q2\n </td>\n <td>\n 561 (19%)\n </td>\n <td>\n 346 (23%)\n </td>\n <td>\n 145 (21%)\n </td>\n <td>\n 62% (57, 66)\n </td>\n <td>\n 26% (22, 30)\n </td>\n </tr>\n <tr>\n <td>\n Q3\n </td>\n <td>\n 869 (29%)\n </td>\n <td>\n 234 (16%)\n </td>\n <td>\n 112 (16%)\n </td>\n <td>\n 27% (24, 30)\n </td>\n <td>\n 13% (11, 15)\n </td>\n </tr>\n <tr>\n <td>\n Q4\n </td>\n <td>\n 616 (21%)\n </td>\n <td>\n 71 (5%)\n </td>\n <td>\n 41 (6%)\n </td>\n <td>\n 11% (9, 14)\n </td>\n <td>\n 7% (5, 9)\n </td>\n </tr>\n <tr>\n <td>\n \n Diagnosis\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Fevers\n </td>\n <td>\n 745 (24%)\n </td>\n <td>\n 365 (25%)\n </td>\n <td>\n 126 (18%)\n </td>\n <td>\n 49% (45, 53)\n </td>\n <td>\n 17% (14, 20)\n </td>\n </tr>\n <tr>\n <td>\n Injuries\n </td>\n <td>\n 405 (13%)\n </td>\n <td>\n 142 (10%)\n </td>\n <td>\n 70 (10%)\n </td>\n <td>\n 35% (30, 40)\n </td>\n <td>\n 17% (14, 21)\n </td>\n </tr>\n <tr>\n <td>\n Diarrhoeal diseases\n </td>\n <td>\n 331 (11%)\n </td>\n <td>\n 123 (8%)\n </td>\n <td>\n 35 (5%)\n </td>\n <td>\n 37% (32, 42)\n </td>\n <td>\n 11% (7, 14)\n </td>\n </tr>\n <tr>\n <td>\n Respiratory tract infections\n </td>\n <td>\n 306 (10%)\n </td>\n <td>\n 157 (10%)\n </td>\n <td>\n 66 (9%)\n </td>\n <td>\n 51% (45, 57)\n </td>\n <td>\n 22% (17, 27)\n </td>\n </tr>\n <tr>\n <td>\n Non-communicable diseases\n </td>\n <td>\n 264 (8%)\n </td>\n <td>\n 139 (9%)\n </td>\n <td>\n 78 (11%)\n </td>\n <td>\n 53% (46, 59)\n </td>\n <td>\n 30% (24, 35)\n </td>\n </tr>\n <tr>\n <td>\n Acute abdominal conditions (incl. laparotomies)\n </td>\n <td>\n 174 (6%)\n </td>\n <td>\n 100 (7%)\n </td>\n <td>\n 62 (9%)\n </td>\n <td>\n 57% (50, 65)\n </td>\n <td>\n 36% (29, 43)\n </td>\n </tr>\n <tr>\n <td>\n Diseases of the reproductive system (incl. hysterectomies)\n </td>\n <td>\n 194 (6%)\n </td>\n <td>\n 117 (8%)\n </td>\n <td>\n 87 (12%)\n </td>\n <td>\n 60% (53, 67)\n </td>\n <td>\n 45% (38, 52)\n </td>\n </tr>\n <tr>\n <td>\n Diseases of the urinary system\n </td>\n <td>\n 142 (5%)\n </td>\n <td>\n 74 (5%)\n </td>\n <td>\n 31 (4%)\n </td>\n <td>\n 52% (44, 61)\n </td>\n <td>\n 22% (15, 30)\n </td>\n </tr>\n <tr>\n <td>\n Ocular conditions\n </td>\n <td>\n 113 (4%)\n </td>\n <td>\n 44 (3%)\n </td>\n <td>\n 20 (3%)\n </td>\n <td>\n 39% (30, 49)\n </td>\n <td>\n 18% (11, 26)\n </td>\n </tr>\n <tr>\n <td>\n \n Exclusions\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Claim rejected\n </td>\n <td>\n 608 (19%)\n </td>\n <td>\n 306 (20%)\n </td>\n <td>\n 306 (43%)\n </td>\n <td>\n 50% (46, 54)\n </td>\n <td>\n 50% (46, 54)\n </td>\n </tr>\n <tr>\n <td>\n Claim accepted\n </td>\n <td>\n 2544 (81%)\n </td>\n <td>\n 1191 (80%)\n </td>\n <td>\n 405 (57%)\n </td>\n <td>\n 47% (45, 49)\n </td>\n <td>\n 16% (14, 17)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Review\n \n </td>\n <td>\n \n Focus on discharge preparation\n \n </td>\n <td>\n \n Focus on discharge support/aftercare\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Cameron 2002\n </td>\n <td>\n X\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Cole 2001\n </td>\n <td>\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Day 2004\n </td>\n <td>\n X\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Gwadry 2004\n </td>\n <td>\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Handoll 2004\n </td>\n <td>\n X\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Hyde 2000\n </td>\n <td>\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Kwan 2002\n </td>\n <td>\n X\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n OST 2003\n </td>\n <td>\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Parker G 2000\n </td>\n <td>\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Parker S 2002\n </td>\n <td>\n X\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Phillips 2004\n </td>\n <td>\n X\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Richards 2003\n </td>\n <td>\n X\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Shepperd 2001\n </td>\n <td>\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Shepperd 2004\n </td>\n <td>\n X\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Teasell 2003\n </td>\n <td>\n </td>\n <td>\n X\n </td>\n </tr>\n <tr>\n <td>\n Total\n </td>\n <td>\n 8\n </td>\n <td>\n 13\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n \n Description of randomisation procedure\n \n </td>\n <td>\n \n Pre- stratification\n \n </td>\n <td>\n \n Concealment of random allocation\n \n </td>\n <td>\n \n Description of loss to follow-up\n \n </td>\n <td>\n \n Blinding of patients\n \n </td>\n <td>\n \n Blinding of treatment providers\n \n </td>\n <td>\n \n Description of co- interventions\n \n </td>\n <td>\n \n Blinding of outcome assessors\n \n </td>\n <td>\n \n Intention-to-treat-analysis\n \n </td>\n <td>\n \n Adjustment for imbalances\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Elmes 1957 [28]\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Berry 1960 [27]\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Fear 1962 [29]\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Petersen 1967 [35]\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Pines 1968 [37]\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Pines 1972 [36]\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Anthonisen 1987 [26]\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Allegra 1991 [25]\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Alonso Martinez 1992 [32]\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Jorgensen 1992 [30]\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n </tr>\n <tr>\n <td>\n Sachs 1995 [31]\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Nouira 2001 [34]\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Age\n \n </td>\n <td colspan=\"2\">\n \n 6-month\n \n </td>\n <td colspan=\"2\">\n \n 9-month\n \n </td>\n <td colspan=\"2\">\n \n 12-month\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Group\n \n </td>\n <td>\n \n IO\n \n </td>\n <td>\n \n BR\n \n </td>\n <td>\n \n IO\n \n </td>\n <td>\n \n BR\n \n </td>\n <td>\n \n IO\n \n </td>\n <td>\n \n BR\n \n </td>\n </tr>\n <tr>\n <td>\n Number of ovaries examined\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n <td>\n 10\n </td>\n </tr>\n <tr>\n <td>\n Ovaries containing cysts\n </td>\n <td>\n 6\n </td>\n <td>\n 6\n </td>\n <td>\n 8\n </td>\n <td>\n 8\n </td>\n <td>\n 7\n </td>\n <td>\n 8\n </td>\n </tr>\n <tr>\n <td>\n Ovaries with extra-ovarian cysts\n </td>\n <td>\n 1\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 2\n </td>\n <td>\n 0\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n Ovaries with hilar inclusion cysts\n </td>\n <td>\n 5\n </td>\n <td>\n 5\n </td>\n <td>\n 6\n </td>\n <td>\n 6\n </td>\n <td>\n 6\n </td>\n <td>\n 5\n </td>\n </tr>\n <tr>\n <td>\n Ovaries with cortical inclusion cysts\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n </tr>\n <tr>\n <td>\n Ovaries with cysts of unknown origin\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 1\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n <td>\n 0\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Ways to reduce risk of dying from breast cancer\n \n </td>\n <td>\n \n % (N) *\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Regular Breast Self-Exam\n </td>\n <td>\n 53 (556)\n </td>\n </tr>\n <tr>\n <td>\n Regular Clinical Breast Exam\n </td>\n <td>\n 41 (436)\n </td>\n </tr>\n <tr>\n <td>\n Annual Mammogram\n </td>\n <td>\n 33 (349)\n </td>\n </tr>\n <tr>\n <td>\n Low fat diet\n </td>\n <td>\n 15 (157)\n </td>\n </tr>\n <tr>\n <td>\n Early detection\n </td>\n <td>\n 11 (120)\n </td>\n </tr>\n <tr>\n <td>\n Exercise\n </td>\n <td>\n 5 (57)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Parameter\n \n </td>\n <td>\n \n Group (n = 7)\n \n </td>\n <td>\n \n BASELINE\n \n </td>\n <td colspan=\"3\">\n \n VOLUME OVERLOAD\n \n </td>\n <td colspan=\"3\">\n \n POST VOLUME OVERLOAD\n \n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n 1 min\n \n </td>\n <td>\n \n 2 min\n \n </td>\n <td>\n \n 3 min\n \n </td>\n <td>\n \n 1 min\n \n </td>\n <td>\n \n 2 min\n \n </td>\n <td>\n \n 3 min\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n LVSP\n \n </td>\n <td>\n \n C\n \n </td>\n <td>\n 136 ± 4.7\n </td>\n <td>\n 125 ± 6.5\n </td>\n <td>\n 135 ± 7\n </td>\n <td>\n 134 ± 6\n </td>\n <td>\n 139 ± 7.8\n </td>\n <td>\n 134 ± 8.8\n </td>\n <td>\n 138 ± 6\n </td>\n </tr>\n <tr>\n <td>\n \n (mm Hg)\n \n </td>\n <td>\n \n D\n \n </td>\n <td>\n 114 ± 6*\n </td>\n <td>\n 116 ± 5.8*\n </td>\n <td>\n 112 ± 5 *\n </td>\n <td>\n 114 ± 6 *\n </td>\n <td>\n 107 ± 10 *\n </td>\n <td>\n 102 ± 4 *\n </td>\n <td>\n 107 ± 10*\n </td>\n </tr>\n <tr>\n <td>\n \n LVEDP\n \n </td>\n <td>\n \n C\n \n </td>\n <td>\n 4.6 ± 0.3\n </td>\n <td>\n 7.8 ± 0.6\n </td>\n <td>\n 8.0 ± 0.6\n </td>\n <td>\n 9.1 ± 0.56\n </td>\n <td>\n 11 ± 1.3\n </td>\n <td>\n 9 ± 1.1\n </td>\n <td>\n 9.4 ± 1.1\n </td>\n </tr>\n <tr>\n <td>\n \n (mm Hg)\n \n </td>\n <td>\n \n D\n \n </td>\n <td>\n 7.4 ± 0.2*\n </td>\n <td>\n 9.9 ± 0.5*#\n </td>\n <td>\n 12.3 ± 0.55*#\n </td>\n <td>\n 11.5 ± 0.72*#\n </td>\n <td>\n 17 ± 1.3 *#†\n </td>\n <td>\n 16 ± 0.7 *#†\n </td>\n <td>\n 15 ± 1.1 *#†\n </td>\n </tr>\n <tr>\n <td>\n \n HR\n \n </td>\n <td>\n \n C\n \n </td>\n <td>\n 350 ± 14\n </td>\n <td>\n 327 ± 10\n </td>\n <td>\n 333 ± 11.5\n </td>\n <td>\n 340 ± 7.5\n </td>\n <td>\n 352 ± 5\n </td>\n <td>\n 360 ± 6\n </td>\n <td>\n 360 ± 6\n </td>\n </tr>\n <tr>\n <td>\n \n (beats/min)\n \n </td>\n <td>\n \n D\n \n </td>\n <td>\n 307 ± 8.5*\n </td>\n <td>\n 300 ± 6 *\n </td>\n <td>\n 300 ± 7*\n </td>\n <td>\n 302 ± 7*\n </td>\n <td>\n 297 ± 1.5*\n </td>\n <td>\n 298 ± 2*\n </td>\n <td>\n 294 ± 3.5 *\n </td>\n </tr>\n <tr>\n <td>\n \n +dP/dt max\n \n </td>\n <td>\n \n C\n \n </td>\n <td>\n 9229 ± 463\n </td>\n <td>\n 8052 ± 741\n </td>\n <td>\n 8699 ± 653\n </td>\n <td>\n 8595 ± 457\n </td>\n <td>\n 8858 ± 504\n </td>\n <td>\n 9273 ± 569\n </td>\n <td>\n 9264 ± 603\n </td>\n </tr>\n <tr>\n <td>\n \n (mm Hg/sec)\n \n </td>\n <td>\n \n D\n \n </td>\n <td>\n 6566 ± 609 *\n </td>\n <td>\n 5861 ± 584 *\n </td>\n <td>\n 5760 ± 770 *\n </td>\n <td>\n 6087 ± 1017*\n </td>\n <td>\n 5320 ± 1287 *\n </td>\n <td>\n 5844 ± 1217*\n </td>\n <td>\n 5712 ± 1247*\n </td>\n </tr>\n <tr>\n <td>\n \n -dP/dt max\n \n </td>\n <td>\n \n C\n \n </td>\n <td>\n -6845 ± 379\n </td>\n <td>\n -6446 ± 576\n </td>\n <td>\n -6543 ± 600\n </td>\n <td>\n -6139 ± 514\n </td>\n <td>\n -6672 ± 646\n </td>\n <td>\n -6320 ± 858\n </td>\n <td>\n -6272 ± 707\n </td>\n </tr>\n <tr>\n <td>\n \n (mm Hg/sec)\n \n </td>\n <td>\n \n D\n \n </td>\n <td>\n -4746 ± 589*\n </td>\n <td>\n -4804 ± 580*\n </td>\n <td>\n -4678 ± 580*\n </td>\n <td>\n -4152 ± 694*\n </td>\n <td>\n -3706 ± 614 *\n </td>\n <td>\n -3557 ± 561*\n </td>\n <td>\n -3246 ± 653*\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Antisera\n \n </td>\n <td>\n \n No. Fields (1 μm\n <sup>\n 2\n </sup>\n )\n \n </td>\n <td>\n \n Wall Pb1-4\n <sup>\n b\n </sup>\n \n </td>\n <td>\n \n Pb5\n <sup>\n b\n </sup>\n \n </td>\n <td>\n \n Matrix\n <sup>\n c\n </sup>\n \n </td>\n <td>\n \n Storage Bodies\n \n </td>\n <td>\n \n Vacuole\n \n </td>\n <td>\n \n Central Body\n \n </td>\n <td>\n \n Between Spores\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n Replicase\n </td>\n <td>\n 40\n </td>\n <td>\n \n 6.52 ± 1.69\n \n </td>\n <td>\n \n 6.29 ± 1.23\n \n </td>\n <td>\n \n 6.90 ± 2.20\n \n </td>\n <td>\n \n 12.38 ± 3.32\n \n </td>\n <td>\n ND\n </td>\n <td>\n \n 11.04 ± 2.45\n \n </td>\n <td>\n \n 3.45 ± 1.65\n \n </td>\n </tr>\n <tr>\n <td>\n Coat\n </td>\n <td>\n 35\n </td>\n <td>\n 1.16 ± 0.24\n </td>\n <td>\n \n 4.92 ± 1.93\n \n </td>\n <td>\n 1.53 ± 0.74\n </td>\n <td>\n 1.55 ± 0.49\n </td>\n <td>\n 2.46 ± 0.74\n </td>\n <td>\n 1.52 ± 0.36\n </td>\n <td>\n 1.90 ± 0.66\n </td>\n </tr>\n <tr>\n <td>\n RTD\n </td>\n <td>\n 114\n </td>\n <td>\n \n 2.76 ± 0.32\n \n </td>\n <td>\n 2.12 ± 0.61\n </td>\n <td>\n 0.94 ± 0.36\n </td>\n <td>\n \n 2.65 ± 0.57\n \n </td>\n <td>\n 2.51 ± 0.40\n </td>\n <td>\n 2.14 ± 0.55\n </td>\n <td>\n 1.21 ± 0.28\n </td>\n </tr>\n <tr>\n <td>\n P42\n </td>\n <td>\n 49\n </td>\n <td>\n 0.91 ± 0.15\n </td>\n <td>\n 0.88 ± 0.37\n </td>\n <td>\n 0.67 ± 0.36\n </td>\n <td>\n 1.32 ± 0.33\n </td>\n <td>\n 1.23 ± 0.48\n </td>\n <td>\n 1.08 ± 0.36\n </td>\n <td>\n 0.67 ± 0.25\n </td>\n </tr>\n <tr>\n <td>\n P13\n </td>\n <td>\n 73\n </td>\n <td>\n \n 4.55 ± 0.75\n \n </td>\n <td>\n 2.12 ± 0.61\n </td>\n <td>\n \n 2.31 ± 0.51\n \n </td>\n <td>\n 1.98 ± 0.56\n </td>\n <td>\n 1.00 ± 0.39\n </td>\n <td>\n 1.61 ± 0.57\n </td>\n <td>\n \n 3.05 ± 1.17\n \n </td>\n </tr>\n <tr>\n <td>\n P15\n </td>\n <td>\n 34\n </td>\n <td>\n \n 3.48 ± 0.55\n \n </td>\n <td>\n 1.27 ± 0.54\n </td>\n <td>\n 1.33 ± 0.50\n </td>\n <td>\n \n 3.55 ± 0.68\n \n </td>\n <td>\n 0.14 ± 0.14\n </td>\n <td>\n 3.67 ± 0.91\n </td>\n <td>\n 0.40 ± 0.31\n </td>\n </tr>\n <tr>\n <td>\n P14\n </td>\n <td>\n 47\n </td>\n <td>\n \n 2.23 ± 0.29\n \n </td>\n <td>\n 2.70 ± 1.08\n </td>\n <td>\n 0.38 ± 0.16\n </td>\n <td>\n 0.43 ± 0.12\n </td>\n <td>\n 1.25 ± 0.52\n </td>\n <td>\n 0.80 ± 0.39\n </td>\n <td>\n 1.07 ± 0.22\n </td>\n </tr>\n <tr>\n <td>\n P25\n </td>\n <td>\n 78\n </td>\n <td>\n \n 4.48 ± 0.42\n \n </td>\n <td>\n 3.07 ± 0.90\n </td>\n <td>\n 2.29 ± 0.49\n </td>\n <td>\n \n 2.62 ± 0.53\n \n </td>\n <td>\n 0.67 ± 0.33\n </td>\n <td>\n \n 2.58 ± 0.55\n \n </td>\n <td>\n 1.27 ± 0.39\n </td>\n </tr>\n <tr>\n <td>\n P31\n </td>\n <td>\n 59\n </td>\n <td>\n \n 4.28 ± 0.48\n \n </td>\n <td>\n 2.43 ± 0.72\n </td>\n <td>\n 0.70 ± 0.22\n </td>\n <td>\n 0.68 ± 0.20\n </td>\n <td>\n 1.67 ± 0.66\n </td>\n <td>\n 1.42 ± 0.34\n </td>\n <td>\n \n 3.71 ± 0.96\n \n </td>\n </tr>\n <tr>\n <td>\n Buffer\n </td>\n <td>\n 54\n </td>\n <td>\n 0.38 ± 0.22\n </td>\n <td>\n 0.00 ± 0.00\n </td>\n <td>\n 0.19 ± 0.10\n </td>\n <td>\n 0.40 ± 0.18\n </td>\n <td>\n 0.27 ± 0.23\n </td>\n <td>\n 0.10 ± 0.07\n </td>\n <td>\n 0.08 ± 0.08\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n H_MINT\n \n </td>\n <td>\n \n H_MINT ctrl\n \n </td>\n <td>\n \n Sanger\n \n </td>\n <td>\n \n Sanger ctrl.\n \n </td>\n <td>\n \n OPHID\n \n </td>\n <td>\n \n OPHID ctrl.\n \n </td>\n <td>\n \n HEN\n \n </td>\n <td>\n \n HEN ctrl.\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n </td>\n <td>\n Nr of Edges\n </td>\n <td>\n 7658\n </td>\n <td>\n 7658\n </td>\n <td>\n 26590\n </td>\n <td>\n 26590\n </td>\n <td>\n 12887\n </td>\n <td>\n 12887\n </td>\n <td>\n 23332\n </td>\n <td>\n 23332\n </td>\n </tr>\n <tr>\n <td>\n iHOP* (sentence)\n </td>\n <td>\n 278,452\n </td>\n <td>\n 522 (6.8)\n </td>\n <td>\n 57 (0.7)\n </td>\n <td>\n 857 (3.2)\n </td>\n <td>\n 233 (0.8)\n </td>\n <td>\n 941 (7.3)\n </td>\n <td>\n 88 (0.7)\n </td>\n <td>\n 5293 (22.6)\n </td>\n <td>\n 615 (2.7)\n </td>\n </tr>\n <tr>\n <td>\n iHOP (pattern)\n </td>\n <td>\n 47,807\n </td>\n <td>\n 229 (3)\n </td>\n <td>\n 9 (0.1)\n </td>\n <td>\n 254 (1)\n </td>\n <td>\n 53 (0.2)\n </td>\n <td>\n 468 (3.6)\n </td>\n <td>\n 14 (0.1)\n </td>\n <td>\n 2675 (11.5)\n </td>\n <td>\n 176 (0.7)\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Category\n \n </td>\n <td>\n \n Mean ± SEM (Range)\n \n </td>\n <td>\n \n Sample Size\n <sup>\n A\n </sup>\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n No. of subjects per pedigree\n </td>\n <td>\n 8.25 ± 0.31 (3–53)\n </td>\n <td>\n 313\n </td>\n </tr>\n <tr>\n <td>\n No. of smokers per pedigree\n </td>\n <td>\n 3.92 ± 0.16 (1–25)\n </td>\n <td>\n 313\n </td>\n </tr>\n <tr>\n <td>\n Age of subjects\n </td>\n <td>\n 43.76 ± .34 (9–83)\n </td>\n <td>\n 2583\n </td>\n </tr>\n <tr>\n <td>\n Male subjects\n </td>\n <td>\n 42.92 ± 0.49 (11–82)\n </td>\n <td>\n 1242\n </td>\n </tr>\n <tr>\n <td>\n Female subjects\n </td>\n <td>\n 44.54 ± 0.46 (9–83)\n </td>\n <td>\n 1341\n </td>\n </tr>\n <tr>\n <td>\n Age of smokers\n </td>\n <td>\n 39.23 ± 0.39 (13–80)\n </td>\n <td>\n 1228\n </td>\n </tr>\n <tr>\n <td>\n Male smokers\n </td>\n <td>\n 38.73 ± 0.54 (15–79)\n </td>\n <td>\n 614\n </td>\n </tr>\n <tr>\n <td>\n Female smokers\n </td>\n <td>\n 39.73 ± 0.56 (13–80)\n </td>\n <td>\n 614\n </td>\n </tr>\n <tr>\n <td>\n Self-reported cigarettes per day, 1970–1971\n </td>\n <td>\n 20.73 ± 0.35 (1–90)\n </td>\n <td>\n 1228\n </td>\n </tr>\n <tr>\n <td>\n Male smokers\n </td>\n <td>\n 23.51 ± 0.53 (1–90)\n </td>\n <td>\n 614\n </td>\n </tr>\n <tr>\n <td>\n Female smokers\n </td>\n <td>\n 17.95 ± 0.43 (1–60)\n </td>\n <td>\n 614\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Chr\n \n </td>\n <td>\n \n Gene (cM)\n <sup>\n B\n </sup>\n \n </td>\n <td>\n \n Marker (cM)\n <sup>\n B\n </sup>\n \n </td>\n <td>\n \n First SBP\n \n </td>\n <td>\n \n Last SBP\n \n </td>\n <td>\n \n Mean SBP\n \n </td>\n <td>\n \n ΔSBP\n \n </td>\n <td>\n \n Reg SBP\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n 13\n \n </td>\n <td>\n Gb35 (85.2)\n </td>\n <td>\n \n \n ATA26D07\n \n \n (90.8)\n </td>\n <td>\n 0.0003\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.003\n </td>\n <td>\n 0.14\n </td>\n <td>\n 0.09\n </td>\n </tr>\n <tr>\n <td>\n \n 21\n \n </td>\n <td>\n Gs12 (29.5)\n </td>\n <td>\n \n \n GATA129D11\n \n \n (26.6)\n </td>\n <td>\n 0.10\n </td>\n <td>\n 0.08\n </td>\n <td>\n 0.08\n </td>\n <td>\n 0.31\n </td>\n <td>\n 0.04\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n \n ATA27F01\n \n \n (40.0)\n </td>\n <td>\n 0.05\n </td>\n <td>\n 0.07\n </td>\n <td>\n 0.04\n </td>\n <td>\n 0.04\n </td>\n <td>\n 0.03\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n Gs10 (53.6)\n </td>\n <td>\n \n \n GATA188F04\n \n \n (44.9)\n </td>\n <td>\n 0.09\n </td>\n <td>\n 0.004\n </td>\n <td>\n 0.002\n </td>\n <td>\n 0.06\n </td>\n <td>\n 0.02\n </td>\n </tr>\n <tr>\n <td>\n </td>\n <td>\n </td>\n <td>\n \n \n GATA70B08\n \n \n (63.4)\n </td>\n <td>\n 0.09\n </td>\n <td>\n 0.01\n </td>\n <td>\n 0.03\n </td>\n <td>\n 0.20\n </td>\n <td>\n 0.09\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
|
{
"gt_parse": {
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"<html>\n \n <body>\n <table frame=\"hsides\" rules=\"groups\" width=\"100%\">\n <thead>\n <tr>\n <td>\n \n Trait\n \n </td>\n <td>\n \n time1\n \n </td>\n <td>\n \n time2\n \n </td>\n <td>\n \n time3\n \n </td>\n <td>\n \n time4\n \n </td>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>\n \n Factor 1\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Triglycerides\n </td>\n <td>\n -0.368\n </td>\n <td>\n -0.293\n </td>\n <td>\n -0.291\n </td>\n <td>\n 0.773\n </td>\n </tr>\n <tr>\n <td>\n Fasting glucose\n </td>\n <td>\n 0.384\n </td>\n <td>\n 0.174\n </td>\n <td>\n 0.155\n </td>\n <td>\n 0.311\n </td>\n </tr>\n <tr>\n <td>\n HDL\n </td>\n <td>\n 1.000\n </td>\n <td>\n 0.975\n </td>\n <td>\n 0.966\n </td>\n <td>\n -0.863\n </td>\n </tr>\n <tr>\n <td>\n Total cholesterol\n </td>\n <td>\n 0.135\n </td>\n <td>\n 0.318\n </td>\n <td>\n 0.629\n </td>\n <td>\n 0.140\n </td>\n </tr>\n <tr>\n <td>\n BMI\n </td>\n <td>\n -0.100\n </td>\n <td>\n -0.100\n </td>\n <td>\n -0.377\n </td>\n <td>\n 0.466\n </td>\n </tr>\n <tr>\n <td>\n Systolic blood pressure\n </td>\n <td>\n 0.162\n </td>\n <td>\n 0.174\n </td>\n <td>\n 0.209\n </td>\n <td>\n 0.205\n </td>\n </tr>\n <tr>\n <td>\n Risk of high blood pressure\n </td>\n <td>\n 0.193\n </td>\n <td>\n 0.533\n </td>\n <td>\n 0.118\n </td>\n <td>\n 0.617\n </td>\n </tr>\n <tr>\n <td>\n Alcohol consumption\n </td>\n <td>\n 0.116\n </td>\n <td>\n 0.217\n </td>\n <td>\n 0.336\n </td>\n <td>\n -0.105\n </td>\n </tr>\n <tr>\n <td>\n Cigarette consumption\n </td>\n <td>\n -0.132\n </td>\n <td>\n -0.203\n </td>\n <td>\n -0.185\n </td>\n <td>\n 0.122\n </td>\n </tr>\n <tr>\n <td>\n \n Factor 2\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Triglycerides\n </td>\n <td>\n 0.917\n </td>\n <td>\n 0.609\n </td>\n <td>\n 0.835\n </td>\n <td>\n 0.231\n </td>\n </tr>\n <tr>\n <td>\n Fasting glucose\n </td>\n <td>\n -\n </td>\n <td>\n 0.329\n </td>\n <td>\n 0.33\n </td>\n <td>\n 0.166\n </td>\n </tr>\n <tr>\n <td>\n HDL\n </td>\n <td>\n -\n </td>\n <td>\n -0.155\n </td>\n <td>\n -0.185\n </td>\n <td>\n 0.122\n </td>\n </tr>\n <tr>\n <td>\n Total cholesterol\n </td>\n <td>\n 0.396\n </td>\n <td>\n 0.787\n </td>\n <td>\n 0.122\n </td>\n <td>\n 0.986\n </td>\n </tr>\n <tr>\n <td>\n BMI\n </td>\n <td>\n 0.147\n </td>\n <td>\n 0.987\n </td>\n <td>\n 0.253\n </td>\n <td>\n 0.203\n </td>\n </tr>\n <tr>\n <td>\n Systolic blood pressure\n </td>\n <td>\n 0.615\n </td>\n <td>\n 0.221\n </td>\n <td>\n 0.419\n </td>\n <td>\n 0.973\n </td>\n </tr>\n <tr>\n <td>\n Risk of high blood pressure\n </td>\n <td>\n 0.612\n </td>\n <td>\n -\n </td>\n <td>\n 0.669\n </td>\n <td>\n 0.13\n </td>\n </tr>\n <tr>\n <td>\n Alcohol consumption\n </td>\n <td>\n 0.203\n </td>\n <td>\n 0.402\n </td>\n <td>\n 0.173\n </td>\n <td>\n 0.13\n </td>\n </tr>\n <tr>\n <td>\n Cigarette consumption\n </td>\n <td>\n 0.137\n </td>\n <td>\n 0.332\n </td>\n <td>\n 0.142\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Factor 3\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Triglycerides\n </td>\n <td>\n 0.154\n </td>\n <td>\n 0.216\n </td>\n <td>\n 0.226\n </td>\n <td>\n 0.116\n </td>\n </tr>\n <tr>\n <td>\n Fasting glucose\n </td>\n <td>\n -\n </td>\n <td>\n 0.202\n </td>\n <td>\n 0.363\n </td>\n <td>\n 0.145\n </td>\n </tr>\n <tr>\n <td>\n HDL\n </td>\n <td>\n -\n </td>\n <td>\n 0.128\n </td>\n <td>\n -0.133\n </td>\n <td>\n 0.21\n </td>\n </tr>\n <tr>\n <td>\n Total cholesterol\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n BMI\n </td>\n <td>\n 0.445\n </td>\n <td>\n -\n </td>\n <td>\n 0.651\n </td>\n <td>\n 0.13\n </td>\n </tr>\n <tr>\n <td>\n Systolic blood pressure\n </td>\n <td>\n 0.312\n </td>\n <td>\n 0.498\n </td>\n <td>\n 0.22\n </td>\n <td>\n 0.108\n </td>\n </tr>\n <tr>\n <td>\n Risk of high blood pressure\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Alcohol consumption\n </td>\n <td>\n 0.369\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 0.137\n </td>\n </tr>\n <tr>\n <td>\n Cigarette consumption\n </td>\n <td>\n -0.169\n </td>\n <td>\n -\n </td>\n <td>\n -0.328\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n \n Factor 4\n \n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n <td>\n </td>\n </tr>\n <tr>\n <td>\n Triglycerides\n </td>\n <td>\n -\n </td>\n <td>\n 0.134\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Fasting glucose\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n HDL\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 0.12\n </td>\n <td>\n 0.264\n </td>\n </tr>\n <tr>\n <td>\n Total cholesterol\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n BMI\n </td>\n <td>\n -0.192\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Systolic blood pressure\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Risk of high blood pressure\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n <tr>\n <td>\n Alcohol consumption\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n 0.565\n </td>\n </tr>\n <tr>\n <td>\n Cigarette consumption\n </td>\n <td>\n 0.337\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n <td>\n -\n </td>\n </tr>\n </tbody>\n </table>\n </body>\n</html>\n"
]
}
} |
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