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The effects of statins on benign prostatic hyperplasia and the lower urinary tract symptoms: A Meta-analysis

BACKGROUND: The aim of this meta-analysis was to understand the relationship between statin with benign prostatic hyperplasia (BPH) and lower urinary tract symptoms (LUTS). METHODS: A systematic literature search was conducted using PubMed, Embase, Cochrane Library, Chinese Medical and Biological Li...

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Detalles Bibliográficos
Autores principales: Yang, Xuesong, Zhang, Qiang, Jiang, Guo, Liu, Junbo, Xie, Chaofan, Cui, Shu, Wu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504530/
https://www.ncbi.nlm.nih.gov/pubmed/31045838
http://dx.doi.org/10.1097/MD.0000000000015502
Descripción
Sumario:BACKGROUND: The aim of this meta-analysis was to understand the relationship between statin with benign prostatic hyperplasia (BPH) and lower urinary tract symptoms (LUTS). METHODS: A systematic literature search was conducted using PubMed, Embase, Cochrane Library, Chinese Medical and Biological Literature Database, China HowNet, Vip, and Wanfang. We calculated pooled odds ratios (OR) and 95% CI and standardized mean difference (SMD). Using Stata 12.0 and Review 5.3 for meta-analysis. RESULTS: This meta-analysis included 11 articles and 49,128 participants. Results show statins could not reduce the incidence of BPH [OR = 0.77 (0.57, 1.03, P = .08]. For patients over 60 years old, statins could reduce the incidence of BPH [OR = 0.35 (0.22, 0.55), P < .0001]. Statins can slow down the progression of LUTS in BPH [SMD = −0.32 (−0.54, −0.10), P = .004], but there is no significant correlation between them in patients taking drugs for less than 1 year. CONCLUSION: Statins have no significant effect on the incidence of BPH, but statins can reduce the risk of BPH for patients over 60 years old. For patients with hyperlipidemia, the duration of medication is more than 1 year, which can slow down the progression of LUTS. However, more high-quality and large sample size studies are needed to further improve and verify.