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Meta-Analysis
. 2020 Aug 14:2020:3149020.
doi: 10.1155/2020/3149020. eCollection 2020.

The Novel Coronavirus Disease (COVID-19): A PRISMA Systematic Review and Meta-Analysis of Clinical and Paraclinical Characteristics

Hamidreza Hasani  1   2 , Shayan Mardi  3 , Sareh Shakerian  4 , Nooshin Taherzadeh-Ghahfarokhi  3 , Parham Mardi  3
Affiliations
Meta-Analysis

The Novel Coronavirus Disease (COVID-19): A PRISMA Systematic Review and Meta-Analysis of Clinical and Paraclinical Characteristics

Hamidreza Hasani et al. Biomed Res Int. .

Abstract

An outbreak of pneumonia, caused by a novel coronavirus (SARS-CoV-2), was identified in China in December 2019. This virus expanded worldwide, causing global concern. Although clinical, laboratory, and imaging features of COVID-19 are characterized in some observational studies, we undertook a systematic review and meta-analysis to assess the frequency of these features. We did a systematic review and meta-analysis using three databases to identify clinical, laboratory, and computerized tomography (CT) scanning features of rRT-PCR confirmed cases of COVID-19. Data for 3420 patients from 30 observational studies were included. Overall, the results showed that fever (84.2%, 95% CI 82.6-85.7), cough (62%, 95% CI 60-64), and fatigue (39.4%, 95% CI 37.2-41.6%) are the most prevalent symptoms in COVID-19 patients. Increased CRP level, decreased lymphocyte count, and increased D-dimer level were the most common laboratory findings. Among COVID-19 patients, 92% had a positive CT finding, most prevalently ground-glass opacification (GGO) (60%, 95% CI 58-62) and peripheral distribution opacification (64%, 95% CI 60-69). These results demonstrate the clinical, paraclinical, and imaging features of COVID-19.

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Conflict of interest statement

The authors declare that they have no competing interest regarding the publication of this paper.

Figures

Figure 1
Figure 1
PRISMA flow chart of search, inclusion and exclusion screening, and accepted studies of the review on the clinical characteristics.
Figure 2
Figure 2
PRISMA flow chart of search, inclusion and exclusion screening, and accepted studies of the review on the imaging studies.
Figure 3
Figure 3
PRISMA flow chart of search, inclusion and exclusion screening, and accepted studies of the review on the laboratory findings.
Figure 4
Figure 4
Funnel plot for clinical characteristics group studies.
Figure 5
Figure 5
Funnel plots for observed studies and imputed studies (trim and fill test) of laboratory findings. The observed studies are shown as open circles, and the four imputed studies are shown as filled circles. The observed point estimate is shown as an open diamond, and the imputed point estimate is shown as a filled diamond.
Figure 6
Figure 6
Funnel plots for observed studies and imputed studies (trim and fill test) of imaging studies. The observed studies are shown as open circles, and the four imputed studies are shown as filled circles. The observed point estimate is shown as an open diamond, and the imputed point estimate is shown as a filled diamond.
Figure 7
Figure 7
Sensitivity analysis of the meta-analysis for each of the included studies.
Figure 8
Figure 8
Pool prevalence forest plots of clinical manifestations.
Figure 9
Figure 9
Pool prevalence forest plots of laboratory findings.
Figure 10
Figure 10
Pool prevalence forest plots of CT scan findings.
See this image and copyright information in PMC

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