80 Red meat and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR dose-response meta-analysis Cases/ Author, Year, name, Study size Case Exposure RR (95%CI) Adjustment Reasons for WCRF Code, Outcome Comparison characteristics Follow-up ascertainment assessment Ptrend factors exclusion Country Age, sex, Cancer alcohol, BMI, Screening educational Examination Wie, 2014 53/ Cancer registry level, energy Used only in Cohort, Korea 3-day food Incidence, vs <43 ≥43 COL41065 8 024 and medical 1.31 (0.60-2.61) intake, Income, highest versus (CSECK), record colorectal cancer g/day Korea 7 years records marital status, lowest analysis. Prospective physical Cohort, activity, M/W smoking Age, BMI, 112-665.6 vs 0.94 (0.72-1.23) educational g/day level, gender, Agnoli, 2013 435/ Cancer registry non-alcoholic Superseded by Prospective Incidence, COL40938 45 275 and hospital beverage intake, Norat, 2005 Cohort, FFQ colorectal cancer 112-665.6 vs 11.28 years records physical COL01698 0.97 (0.74-1.26) M/W 69 g/day activity, smoking, study center Age, alcohol, 644/ Incidence, beef 53 988 per 50 g/day 1.01 (0.87-1.19) cancer DCH, consumption, 13.4 years Component of Prospective cold cuts, Egeberg, 2013 EPIC Cohort, educational per 50 g/day 1.01 (0.87-1.19) COL40953 Cancer registry FFQ Superseded by Age: 50-64 level, energy, Denmark Norat, 2005 Incidence, rectal years, fiber, fish, HRT 345/ COL01698 cancer M/W use, lamb intake, liver, meat, nsaid use, pork,
80 Red meat and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR dose-response meta-analysis Author, Year, WCRF Code, Country name, characteristics Cases/ Study size Follow-up Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Reasons for exclusion Wie, 2014 COL41065 Korea Cancer Screening Examination Cohort, Korea (CSECK), Prospective Cohort, M/W 53/ 8 024 7 years Cancer registry and medical records 3-day food record Incidence, colorectal cancer ≥43 vs <43 g/day 1.31 (0.60-2.61) Age, sex, alcohol, BMI, educational level, energy intake, Income, marital status, physical activity, smoking Used only in highest versus lowest analysis. Agnoli, 2013 COL40938 Prospective Cohort, M/W 435/ 45 275 11.28 years Cancer registry and hospital records FFQ Incidence, colorectal cancer 112-665.6 vs g/day 0.94 (0.72-1.23) Age, BMI, educational level, gender, non-alcoholic beverage intake, physical activity, smoking, study center Superseded by Norat, 2005 COL01698 112-665.6 vs g/day 0.97 (0.74-1.26) Egeberg, 2013 COL40953 Denmark DCH, Prospective Cohort, Age: 50-64 years, M/W 644/ 53 988 13.4 years Cancer registry FFQ Incidence, cancer per 50 g/day 1.01 (0.87-1.19) Age, alcohol, beef consumption, cold cuts, educational level, energy, fiber, fish, HRT use, lamb intake, liver, meat, nsaid use, pork, Component of EPIC Superseded by Norat, 2005 COL01698 345/ Incidence, rectal cancer per 50 g/day 1.01 (0.87-1.19) 69
CUP_colorectal_SLR_2016_RO.docx