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ABSTRACT: Background
Urinary uromodulin (uUMOD) is one of the novel biomarkers for predicting AKI. However, currently available publications showed inconsistent results. We designed this meta-analysis to evaluate the potential association between uUMOD and AKI.Methods
We searched research articles with no language restriction in Medline, Web of Science, Cochrane Library, Embase, and 3 Chinese datasets from inception to February 2021. We used random-effects models to estimate the standardized mean difference (SMD) between patients with AKI or not, while the leave-one-out method and random-effects meta-regression to evaluate the sensitivity and the impact of potential confounders such as age and surgery.Results
The meta-analysis comprising 3148 subjects from 11 studies showed t
SUBMITTER: You R
PROVIDER: S-EPMC8591828 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature