79 Red meat and colorectal cancer risk. Main characteristics of studies included in the CUP SLR dose-response meta-analysis Cases/ Author, Year, Missing data Study name, Study size Case Exposure RR (95%CI) Adjustment WCRF Code, Outcome Comparison derived for characteristics Follow-up ascertainment assessment Ptrend factors Country analyses (years) 666/ vs g/day 0.92 (0.61-1.39) ≥35 ≤5 Incidence, Only included in 84 538 colorectal cancer subgroup per 100 g/day 0.70 (0.33-1.48) 11.1 years NOWAC, Age, alcohol, analysis. Prospective BMI, calcium, Component of 25-35 vs ≤5 Parr, 2013 0.83 (0.58-1.18) Incidence, colon Cohort, energy, fibre, the EPIC trial. g/day 455/ COL40955 Cancer registry FFQ cancer Age: 41-70 physical Superseded by Norway per 100 g/day 0.76 (0.31-1.86) years, activity, Norat, 2005 W smoking COL01698 per 100 g/day 0.59 (0.15-2.25) Incidence, rectal and Bamia, 2013 211/ 25-35 vs cancer ≤5 COL40964 0.92 (0.53-1.59) g/day Age, sex, age at cohort entry In log model, alcohol Distribution of consumption, person-years by BMI, calcium, exposure dietary fibre, category. MEC, energy intake, of Ollberding, Prospective ethnicity, family exposure 3 404/ Cancer registry 2012 Cohort, Incidence, 47.99 vs 7.41 history of categories. 165 717 and national FFQ 1.02 (0.91-1.16) COL40941 Age: 45-75 colorectal cancer g/1000 kcal/day colorectal Intakes in 8.1 years death Index Hawaii, USA years, cancer, folate, g/1000kcal/day M/W history of converted to diabetes, history g/day using of polyp average energy diagnosis, HRT intake per each use, quantile drug use, pack
79 Red meat 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 Cases/ Study size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Missing data derived for analyses Parr, 2013 COL40955 Norway NOWAC, Prospective Cohort, Age: 41-70 years, W 666/ 84 538 11.1 years Cancer registry FFQ Incidence, colorectal cancer ≥35 vs ≤5 g/day 0.92 (0.61-1.39) Age, alcohol, BMI, calcium, energy, fibre, physical activity, smoking Only included in subgroup analysis. Component of the EPIC Superseded by Norat, 2005 COL01698 and Bamia, 2013 COL40964 per 100 g/day 0.70 (0.33-1.48) 455/ Incidence, colon cancer 25-35 vs ≤5 g/day 0.83 (0.58-1.18) per 100 g/day 0.76 (0.31-1.86) 211/ Incidence, rectal cancer per 100 g/day 0.59 (0.15-2.25) 25-35 vs ≤5 g/day 0.92 (0.53-1.59) Ollberding, 2012 COL40941 Hawaii, USA MEC, Prospective Cohort, Age: 45-75 years, M/W 3 404/ 165 717 8.1 years Cancer registry and national death Index FFQ Incidence, colorectal cancer 47.99 vs 7.41 g/1000 kcal/day 1.02 (0.91-1.16) Age, sex, age at cohort entry In log model, alcohol consumption, BMI, calcium, dietary fibre, energy intake, ethnicity, family history of colorectal cancer, folate, history of diabetes, history of polyp diagnosis, HRT use, drug use, pack Distribution of person-years by exposure category. of exposure categories. Intakes in g/1000kcal/day converted to g/day using average energy intake per each quantile trial.
CUP_colorectal_SLR_2016_RO.docx