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ABSTRACT: Objective
We aim to explore the prevalence and temporal trends of the burden of kidney dysfunction (KD) in global, regional and national level, since a lack of related studies.Design
Cross-sectional study.Materials
The data of this research was obtained from Global Burden of Diseases Study 2019. The estimation of the prevalence, which was measured by the summary exposure value (SEV), and attributable burden of KD was performed by DisMod-MR 2.1, a Bayesian meta-regression tool. The Spearman rank order correlation method was adopted to perform correlation analysis. The temporal trends were represented by the estimated annual percentage change (EAPC).Results
In 2019, there were total 3.16 million deaths and 76.5 million disability-adjusted life years (DALYs) at
SUBMITTER: Zhang S
PROVIDER: S-EPMC10288715 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature