Ontology highlight
ABSTRACT: Background
The coronavirus disease 2019 (COVID-19) pandemic has led to global research to predict those who are at greatest risk of developing severe disease and mortality. The aim of this meta-analysis was to determine the associations between obesity and the severity of and mortality due to COVID-19.Methods
We searched the PubMed, EMBASE, Cochrane Library and Web of Science databases for studies evaluating the associations of obesity with COVID-19. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using random- or fixed-effects models. Meta-regression analyses were conducted to estimate regression coefficients.Results
Forty-six studies involving 625,153 patients were included. Compared with nonobese patients, obese patients had a significantly i
SUBMITTER: Cai Z
PROVIDER: S-EPMC8334342 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature