Current evidence remains equivocal as to whether and how consumption of coffee may be associated with risk of bladder cancer, and potential influence of confounding by smoking on this association is yet to be elucidated. We conducted an updated meta-analysis of prospective studies to address these issues.
Relevant studies were identified by searching PubMed and EMBASE databases from inception to April 2019. A random-effects model was used to estimate summary relative risk (RR) with corresponding 95% confidence interval (CI) of bladder cancer associated with coffee consumption.
The final analysis included 16 prospective studies comprising 2,122,816 participants and 11,848 bladder cancer cases. Overall, coffee consumption was not associated with risk of bladder cancer (RR high-vs-low = 1.07, 95% CI: 0.96-1.20). The lack of association persisted in the strata defined by sex or participants’ smoking status. Meta-regression analyses identified the number cases (Pdifference = 0.06) and the degree of adjustment for smoking (Pdifference = 0.04) as potential sources of heterogeneity. There was an increased risk of bladder cancer related to higher coffee consumption among studies with fewer cases (RR high-vs-low = 1.38, 95% CI: 1.05-1.81) and among those with poorer adjustment for smoking (RR high-vs-low = 1.48, 95% CI: 1.14-1.93). Results were similar in the dose-response analyses (RR 1 cup/d = 1.01, 95% CI: 0.98-1.03).
Best evidence available to date does not support an independent association between coffee consumption and bladder cancer risk. Some direct associations observed in individual studies may be a result of residual confounding by smoking.
Supplementary information accompanies this paper at 10.1186/s12986-019-0390-3.
Nutrition & metabolism. 2019 Sep 13*** epublish ***
Zhi-Wei Dai, Ke-Dan Cai, Fu-Rong Li, Xian-Bo Wu, Guo-Chong Chen
Department of Nephrology, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, 315010 China., 2Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou, 510000 China., 3Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA.