Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: A systematic review and meta-analysis.

ABSTRACT:

Objective

To better inform efforts to treat and control the current outbreak with a comprehensive characterization of COVID-19.

Methods

We searched PubMed, EMBASE, Web of Science, and CNKI (Chinese Database) for studies published as of March 2, 2020, and we searched references of identified articles. Studies were reviewed for methodological quality. A random-effects model was used to pool results. Heterogeneity was assessed using I². Publication bias was assessed using Egger's test.

Results

43 studies involving 3600 patients were included. Among COVID-19 patients, fever (83.3% [95% CI 78.4-87.7]), cough (60.3% [54.2-66.3]), and fatigue (38.0% [29.8-46.5]) were the most common clinical symptoms. The most common laboratory abnormalities were elevated C-reacti

SUBMITTER: Fu L 

PROVIDER: S-EPMC7151416 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature