Can we predict the severe course of COVID-19 - a systematic review and meta-analysis of indicators of clinical outcome?

ABSTRACT:

Background

COVID-19 has been reported in over 40million people globally with variable clinical outcomes. In this systematic review and meta-analysis, we assessed demographic, laboratory and clinical indicators as predictors for severe courses of COVID-19.

Methods

This systematic review was registered at PROSPERO under CRD42020177154. We systematically searched multiple databases (PubMed, Web of Science Core Collection, MedRvix and bioRvix) for publications from December 2019 to May 31st 2020. Random-effects meta-analyses were used to calculate pooled odds ratios and differences of medians between (1) patients admitted to ICU versus non-ICU patients and (2) patients who died versus those who survived. We adapted an existing Cochrane risk-of-bias assessment tool for outcome st

SUBMITTER: Katzenschlager S 

PROVIDER: S-EPMC8321230 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature