Table 55 Red and processed 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 analysis Incidence, 9 084/ colorectal 1.26 (1.18-1.35) 1 326 058 Distribution of cancer, men and Age, alcohol, 2 655/ Women 1.29 (1.12-1.49) cases by KNHIC, BMI, cigarette Korean central exposure Incidence, rectal Prospective smoking, family 1.39 (1.14-1.70) Shin, 2014 cancer registry category. Mid- 1252 cancer, women Cohort, vs history of ≥4 ≤1 COL41023 (kccr) & of Age: 30-80 times/week cancer, fasting Incidence, rectal Korea Insurance questionnaire exposure 1143 1.48 (1.10-1.99) years, blood sugar, cancer, men system categories. M/W height, serum Conversion from Incidence, colon cholesterol 2868 1.31 (1.19-1.45) times/week to cancer, men g/day Incidence, 1210 NA cancer, women Age, sex, Cancer alcohol, BMI, Screening educational Examination Wie, 2014 53/ Cancer registry level, energy Conversion from Cohort, Korea 3-day food Incidence, COL41065 8 024 and medical per 10 g/day 1.01 (0.90-1.14) intake, Income, 10g/day to (CSECK), record colorectal cancer Korea 7 years records marital status, 100g/day Prospective physical Cohort, activity, M/W smoking 4 355/ Bamia, 2013 EPIC, Cancer registry, Incidence, 151.5 vs 43.9 480 308 1.08 (0.99-1.18) COL40964 Prospective record linkage, colorectal cancer g/day 11.6 years Cohort, health Insurance FFQ Age: 25-70 rec, mortality 151.5 vs 43.9 2 479/ Women 1.08 (0.97-1.20) years, registry , g/day
Table 55 Red and processed 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 Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Missing data derived for analysis Shin, 2014 COL41023 Korea KNHIC, Prospective Cohort, Age: 30-80 years, M/W 9 084/ 1 326 058 Korean central cancer registry (kccr) & Insurance system questionnaire Incidence, colorectal cancer, men ≥4 vs ≤1 times/week 1.26 (1.18-1.35) Age, alcohol, BMI, cigarette smoking, family history of cancer, fasting blood sugar, height, serum cholesterol Distribution of and cases by exposure category. of exposure categories. Conversion from times/week to g/day 2 655/ Women 1.29 (1.12-1.49) 1252 Incidence, rectal cancer, women 1.39 (1.14-1.70) 1143 Incidence, rectal cancer, men 1.48 (1.10-1.99) 2868 Incidence, colon cancer, men 1.31 (1.19-1.45) 1210 Incidence, cancer, women NA 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 per 10 g/day 1.01 (0.90-1.14) Age, sex, alcohol, BMI, educational level, energy intake, Income, marital status, physical activity, smoking Conversion from 10g/day to 100g/day Bamia, 2013 COL40964 EPIC, Prospective Cohort, Age: 25-70 years, 4 355/ 480 308 11.6 years Cancer registry, record linkage, health Insurance rec, mortality registry , FFQ Incidence, colorectal cancer 151.5 vs 43.9 g/day 1.08 (0.99-1.18) 2 479/ Women 151.5 vs 43.9 g/day 1.08 (0.97-1.20) Mid-