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肾发育不全:基于 15641184 例患者的患病率和临床特征的荟萃分析。

Renal agenesis: A meta-analysis of its prevalence and clinical characteristics based on 15 641 184 patients.

机构信息

Collegium Medicum, Jan Kochanowski University, Kielce, Poland.

Department of Anatomy, Jagiellonian University Medical College, Kraków, Poland.

出版信息

Nephrology (Carlton). 2023 Oct;28(10):525-533. doi: 10.1111/nep.14190. Epub 2023 May 30.

Abstract

Our objective was to analyse the newest relevant data on worldwide prevalence and associated symptoms of renal agenesis (RA). This meta-analysis builds on previous systematic reviews to include bilateral RA, its symptoms and data on gender, unilateral RA and anomaly location prevalence. Review of available data included records in English and other languages from PubMed, Embase, ScienceDirect, Web of Science, SciELO, BIOSIS, Current Content Connect Korean Journal Database and Russian Citation Index and Google. A total of 15 641 184 patients were analysed in relation to the prevalence of RA. The pooled prevalence of RA was 0.03% (95% CI: 0.03%-0.04%). Based on 500 subjects, a pooled prevalence of 47.96% (95% CI: 31.55%-64.58%) for unilateral and 52.04% (95% CI: 35.42%-68.45%) for bilateral RA has been set. Our study presents the newest generalized findings on bilateral RA. There appears to be universal disease and symptom prevalence with minor differences between world regions, although quality of future observational research should include genomic data. This will provide even further insight into the prognosis of various renal anomalies and their etiologies.

摘要

我们的目的是分析全球肾发育不全(RA)患病率及相关症状的最新相关数据。本荟萃分析以前的系统评价为基础,纳入了双侧 RA、其症状以及关于性别、单侧 RA 和异常位置患病率的数据。对现有数据的回顾包括从 PubMed、Embase、ScienceDirect、Web of Science、SciELO、BIOSIS、Current Content Connect 韩国期刊数据库和俄罗斯引文索引以及 Google 检索到的英文和其他语言的记录。共分析了 15641184 例患者与 RA 患病率的关系。RA 的总患病率为 0.03%(95%CI:0.03%-0.04%)。基于 500 名受试者,单侧 RA 的汇总患病率为 47.96%(95%CI:31.55%-64.58%),双侧 RA 的汇总患病率为 52.04%(95%CI:35.42%-68.45%)。我们的研究提出了关于双侧 RA 的最新综合发现。尽管世界各地区之间存在细微差异,但疾病和症状的普遍患病率似乎是普遍存在的,尽管未来观察性研究的质量应包括基因组数据。这将进一步深入了解各种肾异常及其病因的预后。

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