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Determine the most common clinical symptoms in COVID-19 patients: a systematic review and meta-analysis.
J Prev Med Hyg. 2020 Sep; 61(3):E304-E312.JP

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.

Authors+Show Affiliations

Pars Advanced and Minimally Invasive Medical Manners Research Center, Pars Hospital, Iran University of Medical Sciences, Tehran, Iran. Department of Epidemiology & Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran. Department of Epidemiology & Biostatistics, Faculty of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran.Health Research Center, Life Style Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran. Department of Nutrition & Food hygiene, Faculty of Health, Baqiyatallah University of Medical Sciences, Tehran, Iran.Department of Infectious Diseases, Baharloo Hospital, Railway Square, Tehran University of Medical Sciences, Tehran, Iran.

Pub Type(s)

Journal Article
Meta-Analysis
Systematic Review

Language

eng

PubMed ID

33150219

Citation

Alimohamadi, Yousef, et al. "Determine the Most Common Clinical Symptoms in COVID-19 Patients: a Systematic Review and Meta-analysis." Journal of Preventive Medicine and Hygiene, vol. 61, no. 3, 2020, pp. E304-E312.
Alimohamadi Y, Sepandi M, Taghdir M, et al. Determine the most common clinical symptoms in COVID-19 patients: a systematic review and meta-analysis. J Prev Med Hyg. 2020;61(3):E304-E312.
Alimohamadi, Y., Sepandi, M., Taghdir, M., & Hosamirudsari, H. (2020). Determine the most common clinical symptoms in COVID-19 patients: a systematic review and meta-analysis. Journal of Preventive Medicine and Hygiene, 61(3), E304-E312. https://doi.org/10.15167/2421-4248/jpmh2020.61.3.1530
Alimohamadi Y, et al. Determine the Most Common Clinical Symptoms in COVID-19 Patients: a Systematic Review and Meta-analysis. J Prev Med Hyg. 2020;61(3):E304-E312. PubMed PMID: 33150219.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Determine the most common clinical symptoms in COVID-19 patients: a systematic review and meta-analysis. AU - Alimohamadi,Yousef, AU - Sepandi,Mojtaba, AU - Taghdir,Maryam, AU - Hosamirudsari,Hadiseh, Y1 - 2020/10/06/ PY - 2020/04/14/received PY - 2020/06/23/accepted PY - 2020/11/5/entrez PY - 2020/11/6/pubmed PY - 2020/11/13/medline KW - COVID-19 KW - Clinical symptoms KW - Meta-analysis SP - E304 EP - E312 JF - Journal of preventive medicine and hygiene JO - J Prev Med Hyg VL - 61 IS - 3 N2 - 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. SN - 2421-4248 UR - https://www.unboundmedicine.com/medline/citation/33150219/Determine_the_most_common_clinical_symptoms_in_COVID_19_patients:_a_systematic_review_and_meta_analysis_ L2 - https://doi.org/10.15167/2421-4248/jpmh2020.61.3.1530 DB - PRIME DP - Unbound Medicine ER -