Determine the most common clinical symptoms in COVID-19 patients: a systematic review and meta-analysis.
J Prev Med Hyg
; 61(3): E304-E312, 2020 Sep.
Article
in English
| MEDLINE | ID: covidwho-881536
ABSTRACT
INTRODUCTION:
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.METHODS:
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 I2 index, and the tau-squared test were used. Because of significant heterogeneity between the studies the random-effects model with 95% CI was used to calculate the pooled estimation of each symptom prevalence.RESULTS:
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).CONCLUSIONS:
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.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Coronavirus Infections
Type of study:
Diagnostic study
/
Observational study
/
Prognostic study
/
Randomized controlled trials
/
Reviews
/
Systematic review/Meta Analysis
Limits:
Humans
Language:
English
Journal:
J Prev Med Hyg
Journal subject:
Public Health
Year:
2020
Document Type:
Article
Affiliation country:
2421-4248
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