Table 159 Total alcoholic drinks and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response meta-analysis Author, Year, Missing data Study name, size Case Exposure RR (95%CI) Adjustment WCRF Code, Outcome Comparison derived for characteristics Follow-up ascertainment assessment Ptrend factors Country analyses (years) Age, cancer Hippisley-Cox, QResearch 18 130/ Cancer Medical records Incidence, vs ≥9.1 ≤0 diagnosis, 2015 database study, 4 943 765 registry/death colorectal 1.56 (1.33-1.83) Distribution of units/day ethnicity, family COL41058 UK, 15 years cancer, men by history of England Prospective records exposure 14 496/ Women colorectal Cohort, category, cancer, presence Age: 25-84 of vs of other disease, ≥9.1 ≤0 years, 1.36 (0.80-2.32) exposure units/day smoking status, M/W categories. type 2 diabetes mellitus Klatsky, 2015 2 148/ Cancer registry Questionnaire Incidence, Distribution of Age, sex, BMI, COL41059 Prospective 124 193 colorectal cancer person-years by educational USA Cohort, 17.8 exposure level, marital Age: 41 years, vs drinks 1.40 (1.10-1.70) category, ≥3 ≤0 status, M/W of race/ethnicity, exposure smoking categories. Land, 2014 NSABP, 35/ Follow-up visits Questionnaire Incidence, Age, aspirin use, COL41062 Prospective 13 388 Invasive colon BMI, estrogen USA Cohort, 7 cancer use, family Age: 54 years, history of Distribution of W, cancer, leisure by High Risk time physical exposure vs ≥1.1 ≤0 population 0.61 (0.23-1.63) activity, category, drinks/day menstrual status, of race, smoking exposure duration, categories. smoking Intensity, smoking status,
Table 159 Total alcoholic drinks and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response meta-analysis Author, Year, WCRF Code, Country Study name, characteristics size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Missing data derived for analyses Hippisley-Cox, 2015 COL41058 England QResearch database study, UK, Prospective Cohort, Age: 25-84 years, M/W 18 130/ 4 943 765 15 years Cancer registry/death records Medical records Incidence, colorectal cancer, men ≥9.1 vs ≤0 units/day 1.56 (1.33-1.83) Age, cancer diagnosis, ethnicity, family history of colorectal cancer, presence of other disease, smoking status, type 2 diabetes mellitus Distribution of by exposure category, of exposure categories. 14 496/ Women ≥9.1 vs ≤0 units/day 1.36 (0.80-2.32) Klatsky, 2015 COL41059 USA Prospective Cohort, Age: 41 years, M/W 2 148/ 124 193 17.8 Cancer registry Questionnaire Incidence, colorectal cancer ≥3 vs ≤0 drinks 1.40 (1.10-1.70) Age, sex, BMI, educational level, marital status, race/ethnicity, smoking Distribution of person-years by exposure category, of exposure categories. Land, 2014 COL41062 USA NSABP, Prospective Cohort, Age: 54 years, W, High Risk population 35/ 13 388 7 Follow-up visits Questionnaire Incidence, Invasive colon cancer ≥1.1 vs ≤0 drinks/day 0.61 (0.23-1.63) Age, aspirin use, BMI, estrogen use, family history of cancer, leisure time physical activity, menstrual status, race, smoking duration, smoking Intensity, smoking status, Distribution of by exposure category, of exposure categories.
CUP_colorectal_SLR_2016_RO.docx