D Aune1, D S M Chan, R Lau, R Vieira, D C Greenwood, E Kampman, T Norat. 1. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St. Mary's Campus, Norfolk Place, Paddington, London, W2 1PG, UK. d.aune@imperial.ac.uk
Abstract
BACKGROUND: Dietary carbohydrate, glycemic index, and glycemic load are thought to influence colorectal cancer risk through hyperinsulinemia. We review and quantitatively summarize in a meta-analysis the evidence from prospective cohort studies. METHODS: We searched the PubMed database for prospective studies of carbohydrate, glycemic index, and glycemic load and colorectal cancer risk, up to October 2011. Summary relative risks were estimated by the use of a random effects model. RESULTS: We identified 14 cohort studies that could be included in the meta-analysis of carbohydrate, glycemic index, and glycemic load and colorectal cancer risk. The summary RR for high versus low intake was 1.00 (95% CI: 0.87-1.14, I2 = 31%) for carbohydrate, 1.07 (95% CI: 0.99-1.16, I2 = 28%) for glycemic index, and 1.00 (95% CI: 0.91-1.10, I2 = 39%) for glycemic load. In the dose-response analysis, the summary RR was 0.95 (95% CI: 0.84-1.07, I2 = 58%) per 100 grams of carbohydrate per day, 1.07 (95% CI: 0.99-1.15, I2 = 39%) per 10 glycemic index units, and 1.01 (95% CI: 0.95-1.08, I2 = 47%) per 50 glycemic load units. Exclusion of one or two outlying studies reduced the heterogeneity, but the results were similar. CONCLUSION: This meta-analysis of cohort studies does not support an independent association between diets high in carbohydrate, glycemic index, or glycemic load and colorectal cancer risk.
BACKGROUND: Dietary carbohydrate, glycemic index, and glycemic load are thought to influence colorectal cancer risk through hyperinsulinemia. We review and quantitatively summarize in a meta-analysis the evidence from prospective cohort studies. METHODS: We searched the PubMed database for prospective studies of carbohydrate, glycemic index, and glycemic load and colorectal cancer risk, up to October 2011. Summary relative risks were estimated by the use of a random effects model. RESULTS: We identified 14 cohort studies that could be included in the meta-analysis of carbohydrate, glycemic index, and glycemic load and colorectal cancer risk. The summary RR for high versus low intake was 1.00 (95% CI: 0.87-1.14, I2 = 31%) for carbohydrate, 1.07 (95% CI: 0.99-1.16, I2 = 28%) for glycemic index, and 1.00 (95% CI: 0.91-1.10, I2 = 39%) for glycemic load. In the dose-response analysis, the summary RR was 0.95 (95% CI: 0.84-1.07, I2 = 58%) per 100 grams of carbohydrate per day, 1.07 (95% CI: 0.99-1.15, I2 = 39%) per 10 glycemic index units, and 1.01 (95% CI: 0.95-1.08, I2 = 47%) per 50 glycemic load units. Exclusion of one or two outlying studies reduced the heterogeneity, but the results were similar. CONCLUSION: This meta-analysis of cohort studies does not support an independent association between diets high in carbohydrate, glycemic index, or glycemic load and colorectal cancer risk.
Authors: Stephanie C Melkonian; Carrie R Daniel; Yuanqing Ye; Jeanne A Pierzynski; Jack A Roth; Xifeng Wu Journal: Cancer Epidemiol Biomarkers Prev Date: 2016-03 Impact factor: 4.254
Authors: Edward L Giovannucci; Kana Wu; Emilie S Zoltick; Stephanie A Smith-Warner; Chen Yuan; Molin Wang; Charles S Fuchs; Jeffrey A Meyerhardt; Andrew T Chan; Kimmie Ng; Shuji Ogino; Meir J Stampfer Journal: Br J Cancer Date: 2021-07-15 Impact factor: 9.075