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Metabolic Syndrome and Bladder Cancer Risk: A Meta-Analysis of Cohort Studies.

Created on 15 Oct 2026

Authors

Haoyang Teng, Jie Chen, Jiren Qian, Liyang Chen, Yudi Zhu, Tianyu Tang, Ping Wang, Xin Xu

Published in

Archivos espanoles de urologia. Volume 79. Issue 8. Pages 1419-1428.

Abstract

This study aimed to systematically assess the relationship between metabolic syndrome (MetS) and the incidence of bladder cancer.
We performed a comprehensive search of the PubMed, EMBASE, Cochrane CENTRAL, Web of Science, and Scopus databases to retrieve eligible cohort studies. Pooled relative risk (RR) and corresponding 95% confidence interval (CI) were estimated using a random-effects model. Robustness was checked via a leave-one-out sensitivity analysis. Publication bias was assessed both graphically (funnel plots) and statistically (Begg's and Egger's tests).
The final meta-analysis incorporated six studies, encompassing a total population of over 13 million individuals and 22,000 newly diagnosed cases. The aggregated data revealed that MetS was associated with a statistically significant 12% elevation in bladder cancer risk (RR = 1.12; 95% CI: 1.03-1.22). Sensitivity analysis demonstrated the stability of these results, and no evidence of significant publication bias was observed. Substantial heterogeneity was observed across studies (I2 = 62.4%, p = 0.009). Sensitivity analysis demonstrated the robustness of the pooled estimate. Exclusion of any single study did not materially alter the overall conclusion. Begg's test produced a p-value of 0.711, while Egger's test showed a p-value of 0.062.
MetS is linked to a moderately higher risk of developing bladder cancer. These results underscore the importance of maintaining metabolic health as a potential strategy for bladder cancer prevention.

PMID:
42876132
Bibliographic data and abstract were imported from PubMed on 15 Oct 2026.

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