Table 107 Dairy intake and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR dose-response analysis Cases/ Author, Year, Study name, size Case Exposure RR (95%CI) Reasons for WCRF Code, Outcome Comparison Adjustment factors characteristics Follow-up ascertainment assessment Ptrend exclusion Country (years) Incidence, 529.8 vs 114 Age, sex, BMI, colorectal 0.85 (0.78-0.92) Cancer registry, g/day centre location, cancer Bamia, 2013 record linkage, EPIC, cereal, dairy COL40964 health Prospective products 4 355/ Insurance rec, Duplicate, overlap Incidence, Cohort, consumption, 529.8 vs 114 480 308 mortality FFQ with Murphy et al, colorectal 0.84 (0.75-0.93) Age: 25-70 educational level, g/day 11.6 years registry , 2013, COL41070 cancer, women ethanol, fish, fruits, pathology and M/W legumes, lipids, active follow Incidence, meat, physical 529.8 vs 114 up colorectal 0.88 (0.78-1.00) activity, smoking g/day cancer, men Age, sex, alcohol intake, BMI, diabetes, dialect SCHS, group, educational Prospective Butler, 2008 961/ Incidence, level, energy intake, Cohort, COL40639 61 321 Cancer registry FFQ colorectal Q 4 vs Q 1 0.98 (0.82-1.17) exposure Age: 45-74 Singapore 9.8 years cancer assessment, family years, history of colorectal M/W cancer, physical activity, smoking habits BOCS, van der Pols Historical 76/ Incidence, JC, 2007 National health 7-day food Age, sex, energy Household dietary Cohort, 4 374 colorectal 471 vs 89 g/day 2.90 (1.26-6.65) COL40680 records records intake, fruit intake intake Age: 8 years, 57 years cancer UK M/W 2005 516/ Adenoma vs ≥424.3 EPIC-E3N, Questionnaire 0.80 (0.62-1.05) POL16753 5 320 Incidence, g/day
Table 107 Dairy intake and colorectal cancer risk. Main characteristics of studies excluded from the CUP SLR dose-response Author, Year, WCRF Code, Country Study name, characteristics Cases/ size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Reasons for exclusion Bamia, 2013 COL40964 EPIC, Prospective Cohort, Age: 25-70 M/W 4 355/ 480 308 11.6 years Cancer registry, record linkage, health Insurance rec, mortality registry , pathology and active follow up FFQ Incidence, colorectal cancer 529.8 vs 114 g/day 0.85 (0.78-0.92) Age, sex, BMI, centre location, cereal, dairy products consumption, educational level, ethanol, fish, fruits, legumes, lipids, meat, physical activity, smoking Duplicate, overlap with Murphy et al, 2013, COL41070 Incidence, colorectal cancer, women 529.8 vs 114 g/day 0.84 (0.75-0.93) Incidence, colorectal cancer, men 529.8 vs 114 g/day 0.88 (0.78-1.00) Butler, 2008 COL40639 Singapore SCHS, Prospective Cohort, Age: 45-74 years, M/W 961/ 61 321 9.8 years Cancer registry FFQ Incidence, colorectal cancer Q 4 vs Q 1 0.98 (0.82-1.17) Age, sex, alcohol intake, BMI, diabetes, dialect group, educational level, energy intake, exposure assessment, family history of colorectal cancer, physical activity, smoking habits van der Pols JC, 2007 COL40680 UK BOCS, Historical Cohort, Age: 8 years, M/W 76/ 4 374 57 years National health records 7-day food records Incidence, colorectal cancer 471 vs 89 g/day 2.90 (1.26-6.65) Age, sex, energy intake, fruit intake Household dietary intake 2005 POL16753 EPIC-E3N, 516/ 5 320 Questionnaire Adenoma Incidence, ≥424.3 vs g/day 0.80 (0.62-1.05) analysis
CUP_colorectal_SLR_2016_RO.docx