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Clinical characteristics of hospitalized patients with SARS-CoV-2 infection: A single arm meta-analysis.
J Med Virol. 2020 06; 92(6):612-617.JM

Abstract

OBJECTIVE

We aim to summarize reliable evidence of evidence-based medicine for the treatment and prevention of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by analyzing all the published studies on the clinical characteristics of patients with SARS-CoV-2.

METHODS

PubMed, Cochrane Library, Embase, and other databases were searched. Several studies on the clinical characteristics of SARS-CoV-2 infection were collected for meta-analysis.

RESULTS

Ten studies were included in Meta-analysis, including a total number of 50466 patients with SARS-CoV-2 infection. Meta-analysis shows that, among these patients, the incidence of fever was 0.891 (95% CI: 0.818, 0.945), the incidence of cough was 0.722 (95% CI: 0.657, 0.782), and the incidence of muscle soreness or fatigue was 0.425 (95% CI: 0.213, 0.652). The incidence of acute respiratory distress syndrome (ARDS) was 0.148 (95% CI: 0.046, 0.296), the incidence of abnormal chest computer tomography (CT) was 0.966 (95% CI: 0.921, 0.993), the percentage of severe cases in all infected cases was 0.181 (95% CI: 0.127, 0.243), and the case fatality rate of patients with SARS-CoV-2 infection was 0.043 (95% CI: 0.027, 0.061).

CONCLUSION

Fever and cough are the most common symptoms in patients with SARS-CoV-2 infection, and most of these patients have abnormal chest CT examination. Several people have muscle soreness or fatigue as well as ARDS. Diarrhea, hemoptysis, headache, sore throat, shock, and other symptoms are rare. The case fatality rate of patients with SARS-CoV-2 infection is lower than that of Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS). This meta-analysis also has limitations, so the conclusions of this Meta-analysis still need to be verified by more relevant studies with more careful design, more rigorous execution, and larger sample size.

Authors+Show Affiliations

Department of Plastic Surgery, Zibo Central Hospital, Zibo, China.Department of Rehabilitation, Beijing Rehabilitation Hospital of Capital Medical University, Beijing, China.Department of Rehabilitation, Beijing Rehabilitation Hospital of Capital Medical University, Beijing, China.Department of Plastic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China.Department of Plastic Surgery, Qingdao Eighth People's Hospital, Qingdao, China.Department of Respiratory Rehabilitation, Beijing Rehabilitation Hospital of Capital Medical University, Beijing, China.

Pub Type(s)

Journal Article
Meta-Analysis

Language

eng

PubMed ID

32108351

Citation

Sun, Pengfei, et al. "Clinical Characteristics of Hospitalized Patients With SARS-CoV-2 Infection: a Single Arm Meta-analysis." Journal of Medical Virology, vol. 92, no. 6, 2020, pp. 612-617.
Sun P, Qie S, Liu Z, et al. Clinical characteristics of hospitalized patients with SARS-CoV-2 infection: A single arm meta-analysis. J Med Virol. 2020;92(6):612-617.
Sun, P., Qie, S., Liu, Z., Ren, J., Li, K., & Xi, J. (2020). Clinical characteristics of hospitalized patients with SARS-CoV-2 infection: A single arm meta-analysis. Journal of Medical Virology, 92(6), 612-617. https://doi.org/10.1002/jmv.25735
Sun P, et al. Clinical Characteristics of Hospitalized Patients With SARS-CoV-2 Infection: a Single Arm Meta-analysis. J Med Virol. 2020;92(6):612-617. PubMed PMID: 32108351.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Clinical characteristics of hospitalized patients with SARS-CoV-2 infection: A single arm meta-analysis. AU - Sun,Pengfei, AU - Qie,Shuyan, AU - Liu,Zongjian, AU - Ren,Jizhen, AU - Li,Kun, AU - Xi,Jianing, Y1 - 2020/03/11/ PY - 2020/02/24/received PY - 2020/02/26/accepted PY - 2020/2/29/pubmed PY - 2020/7/1/medline PY - 2020/2/29/entrez KW - 2019-nCoV KW - SARS-CoV-2 KW - clinical symptoms KW - coronavirus KW - meta-analysis SP - 612 EP - 617 JF - Journal of medical virology JO - J Med Virol VL - 92 IS - 6 N2 - OBJECTIVE: We aim to summarize reliable evidence of evidence-based medicine for the treatment and prevention of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by analyzing all the published studies on the clinical characteristics of patients with SARS-CoV-2. METHODS: PubMed, Cochrane Library, Embase, and other databases were searched. Several studies on the clinical characteristics of SARS-CoV-2 infection were collected for meta-analysis. RESULTS: Ten studies were included in Meta-analysis, including a total number of 50466 patients with SARS-CoV-2 infection. Meta-analysis shows that, among these patients, the incidence of fever was 0.891 (95% CI: 0.818, 0.945), the incidence of cough was 0.722 (95% CI: 0.657, 0.782), and the incidence of muscle soreness or fatigue was 0.425 (95% CI: 0.213, 0.652). The incidence of acute respiratory distress syndrome (ARDS) was 0.148 (95% CI: 0.046, 0.296), the incidence of abnormal chest computer tomography (CT) was 0.966 (95% CI: 0.921, 0.993), the percentage of severe cases in all infected cases was 0.181 (95% CI: 0.127, 0.243), and the case fatality rate of patients with SARS-CoV-2 infection was 0.043 (95% CI: 0.027, 0.061). CONCLUSION: Fever and cough are the most common symptoms in patients with SARS-CoV-2 infection, and most of these patients have abnormal chest CT examination. Several people have muscle soreness or fatigue as well as ARDS. Diarrhea, hemoptysis, headache, sore throat, shock, and other symptoms are rare. The case fatality rate of patients with SARS-CoV-2 infection is lower than that of Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS). This meta-analysis also has limitations, so the conclusions of this Meta-analysis still need to be verified by more relevant studies with more careful design, more rigorous execution, and larger sample size. SN - 1096-9071 UR - https://www.unboundmedicine.com/medline/citation/32108351/Clinical_characteristics_of_hospitalized_patients_with_SARS_CoV_2_infection:_A_single_arm_meta_analysis_ DB - PRIME DP - Unbound Medicine ER -