Metabolic syndrome and bladder cancer risk: a comprehensive evidence synthesis combining bibliometric and meta-analysis approaches
Abstract
This study employed bibliometric analysis to explore global research on metabolic syndrome (MetS) and bladder cancer (BC), focusing on characteristics and research trends. Additionally, a meta-analysis was conducted to comprehensively evaluate the association between MetS and its components with the risk of BC. We conducted a comprehensive search of publications from 2002 to 2022 in the Web of Science Core Collection (WoSCC). Visualization analysis was performed using the Open Scientometrics Data Analysis and Visualization Platform, VOSviewer software and the R package “bibliometrix”. For the meta-analysis, data from PubMed, Embase and the Cochrane Library up to March 22, 2022, were utilized. Literature from PubMed, Embase, Cochrane and Web of Science up to March 25, 2022, were retrieved, and data extraction was independently performed by two authors. A random-effects model was used to calculate pooled odds ratios (ORs) and 95% confidence intervals (95% CIs). Meta-analysis was conducted using RevMan 5.4 software. In the bibliometric analysis, 147 papers were included, and information on countries, institutions, authors, journals and keywords from Web of Science was analyzed and visualized. For the meta-analysis, 11 studies involving 665,164 patients were included. The pooled analysis of six case-control studies showed that patients with MetS had a higher risk of BC compared to the non-MetS control group (OR = 1.62, 95% CI: 1.08–2.43, P 0.05) and obesity (OR = 0.8, 95% CI:…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 665,164 participants or records.
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