Effect of somatometric parameters on the prevalence and severity of varicocele: a systematic review and meta-analysis

Author:

Li Runqing,Liu Junjie,Li Yushan,Wang Quanxian

Abstract

Abstract Background Published studies have shown contradictory results regarding the relationship between somatometric parameters and varicoceles. We performed a systematic review and meta-analysis to investigate the possible effects of age, height, weight, and body mass index (BMI) on the presence and severity of varicoceles. Methods Databases including EMBASE, MEDLINE, PubMed, Cochrane Library, China National Knowledge Infrastructure (CNKI), Web of Science, and Google Scholar were systematically searched to identify relevant articles published up to March 2020. Two researchers independently identified eligible articles and extracted data. Cochran’s Q statistic and I2 statistics were used to assess heterogeneity. Meta-analysis was performed using StataSE 12.0 software (StataCorp LP, USA). Random-effects models were used to obtain the weighted mean differences (WMDs) and 95% confidence intervals (CIs). Publication bias was assessed using Begg’s funnel plot and Egger’s regression test. Results The search strategy produced 272 articles, of which 18 articles were eligible according to the inclusion/exclusion criteria. A total of 56,325 patients with varicocele and 1,334,694 patients without varicocele were included in the meta-analysis to evaluate the effect of somatometric parameters on the presence and severity of varicocele. The overall results demonstrated that the presence of varicoceles was significantly associated with height (WMD = 1.41, 95% CI = 1.07 to 1.74, P < 0.001) and inversely correlated with BMI (WMD = − 1.35, 95% CI = -1.67 to − 1.03, P < 0.001) but not with age (WMD = -0.93, 95% CI = -2.19 to 0.33, P = 0.149) or weight (WMD = 0.24, 95% CI = -2.24 to 2.72, P = 0.850). The severity of varicocele was inversely correlated with increased BMI but not with age. Conclusion The presence of varicoceles was significantly associated with height and inversely correlated with BMI.

Publisher

Springer Science and Business Media LLC

Subject

Developmental Biology,Endocrinology,Reproductive Medicine,Obstetrics and Gynecology

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