Data from: Association between metabolic syndrome components and the risk of developing nephrolithiasis: Bayesian meta-analysis and meta-regression with dose-response analysis
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https://datadryad.org/dataset/doi:10.5061/dryad.76hdr7svg
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资源简介:
Nephrolithiasis has shifted to be a systemic disease. As opposed to an
isolated urinary metabolic problem, it became determined that
nephrolithiasis turned into considerably related to link with systemic
diseases such as hypertension, obesity, dyslipidemia, and insulin
resistance. The interplay between these four factors defines MetS
(metabolic syndrome). In this review we aim to clarify the associations of
metabolic syndrome and its components to kidney stone incident. Online
databases of EMBASE, MEDLINE, and Google Scholar were searched up to
October 2020 to identify observational studies examining the association
between metabolic syndrome components and kidney stone incident. Bayesian
Random-Effects Meta-Analysis and Meta-Regression were performed to observe
the association. Linear dose-response analyses were conducted to shape the
direction of the association. Data analysis was performed using STATA, and
R statistics. This dataset contains supplementary material and
figures as additional analysis of the study.
提供机构:
Dryad
创建时间:
2021-01-21



