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Meta-Analysis
. 2020 Sep:98:180-186.
doi: 10.1016/j.ijid.2020.06.052. Epub 2020 Jun 17.

Asymptomatic patients as a source of COVID-19 infections: A systematic review and meta-analysis

Affiliations
Meta-Analysis

Asymptomatic patients as a source of COVID-19 infections: A systematic review and meta-analysis

Andreas Kronbichler et al. Int J Infect Dis. 2020 Sep.

Abstract

Background: Coronavirus Disease 2019 (COVID-19) is characterized by an unpredictable disease course, ranging from asymptomatic to severe, life-threatening infections. Asymptomatic COVID-19 infections have been described, and the aim of this systematic review was to summarise their presentation forms.

Methods: We searched PubMed® and Google® (1 December 2019 to 29 March 2020) and extracted age, laboratory findings, and computed tomography (CT) scans. Pooled incidence rates of clinical characteristics were analyzed using random-effect models.

Results: In total, 506 patients from 34 studies (68 single cases and 438 from case-series) with an asymptomatic course were identified. Patients with normal radiology were younger (19.59 ± 17.17 years) than patients with abnormal radiology (39.14 ± 26.70 years) (p-value = 0.013). Despite being asymptomatic, CT investigations revealed abnormalities in 62.2% of the cases; ground-glass opacities were most frequently observed (43.09% by meta-analysis). Most studies reported normal laboratory findings (61.74% by meta-analysis).

Conclusions: More than half of the patients without any symptoms present with CT abnormalities. Asymptomatic patients may be contagious and thus a potential source of transmission of COVID-19.

Keywords: Asymptomatic; Coronavirus disease-19 (COVID-19); Meta-analysis; SARS-CoV-2.

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Figures

Fig. 1
Fig. 1
PRISMA flow diagram for literature search.
Fig. 2
Fig. 2
Meta-analyses on the proportion of radiologic findings in asymptomatic patients.
Fig. 3
Fig. 3
Meta-analyses on the proportion of laboratory findings in asymptomatic patients.

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