Determine the most common clinical symptoms in COVID-19 patients: a systematic review and meta-analysis.

Published
November 06, 2020
Journal
Journal of preventive medicine and hygiene
PICOID
ac2e6b4e
DOI
Citations
0
Keywords
COVID-19, Clinical symptoms, Meta-analysis
Copyright
©2020 Pacini Editore SRL, Pisa, Italy.
Patients/Population/Participants

COVID-19 patients

Intervention

Systematic review and meta-analysis of clinical symptoms

Comparison

Articles published in English between January 1, 2020, and April 2, 2020

Outcome

Prevalence of clinical symptoms of COVID-19

Abstract

P
I
C
O

COVID-19 is an emerging infectious disease. The study about features of this infection could be very helpful in better knowledge about this infectious disease. The current systematic review and meta-analysis were aimed to estimate the prevalence of clinical symptoms of COVID-19 in a systematic review and meta-analysis. A systematic review using Medline/PubMed, Scopus, and Google scholar has been conducted. In the current systematic review and meta-analysis, the articles published in the period January 1, 2020, to April 2, 2020, written in English and reporting clinical symptoms of COVID-19 was reviewed. To assess, the presence of heterogeneity, the Cochran's Q statistic, the I The most common symptoms in COVID-19 patients include: Fever 81.2% (95% CI: 77.9-84.4); Cough: 58.5% (95% CI: 54.2-62.8); Fatigue 38.5% (95% CI: 30.6-45.3); Dyspnea: 26.1% (95% CI: 20.4-31.8); and the Sputum: 25.8% (95% CI: 21.1-30.4). Based on the meta-regression results, the sample size used in different studies did not have a significant effect on the final estimate value (P > 0.05). Considering the main symptoms of COVID-19 such as Fever, Cough, Fatigue, and Dyspnea can have a key role in early detection of this disease and prevent the transmission of the disease to other people.

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