Terry, 2001 SMC, 460/ Computerized FFQ Incidence, COL00556 Prospective 61 463 A posteriori colorectal regional cancer Sweden Cohort, 9.6 defined cancer registers Age: 39-76 dietary 0.79 (0.56-1.10) years, patterns W “Healthy” Age, BMI, dietary Q 5 vs Q 1 educational pattern level, energy intake “Western” dietary 0.97 (0.66-1.44) pattern “Drinker” dietary 1.13 (0.84-1.53) pattern Table 5 A posteriori derived dietary patterns and colorectal cancer risk. Main characteristics of studies identified CUP SLR Author, Year, Study name, Study size Case Exposure RR (95%CI) WCRF Code, Outcome Comparison Adjustment factors characteristics Follow-up ascertainment assessment Ptrend Country (years) Kumagai, 2014 OCS, 854/ Incidence, Cancer registry A posteriori COL41050 Prospective 44 097 colorectal cancer Q 4 vs Q 1 0.76 (0.60-0.97) derived dietary Japan Cohort, 11 patterns Age: 40-79 DFA: 554/ Incidence, colon Q 4 vs Q 1 0.89 (0.66-1.19)
Terry, 2001 COL00556 Sweden SMC, Prospective Cohort, Age: 39-76 years, W 460/ 61 463 9.6 Computerized regional cancer registers FFQ A posteriori defined dietary patterns “Healthy” dietary pattern Incidence, colorectal cancer Q 5 vs Q 1 0.79 (0.56-1.10) Age, BMI, educational level, energy intake “Western” dietary pattern 0.97 (0.66-1.44) “Drinker” dietary pattern 1.13 (0.84-1.53) Table 5 A posteriori derived dietary patterns and colorectal cancer risk. Main characteristics of studies identified CUP SLR Author, Year, WCRF Code, Country Study name, characteristics Study size Follow-up (years) Case ascertainment Exposure assessment Outcome Comparison RR (95%CI) Ptrend Adjustment factors Kumagai, 2014 COL41050 Japan OCS, Prospective Cohort, Age: 40-79 854/ 44 097 11 Cancer registry A posteriori derived dietary patterns DFA: Incidence, colorectal cancer Q 4 vs Q 1 0.76 (0.60-0.97) 554/ Incidence, colon Q 4 vs Q 1 0.89 (0.66-1.19)
CUP_colorectal_SLR_2016_RO.docx