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. 2020 Sep 16;10(9):e041079.
doi: 10.1136/bmjopen-2020-041079.

Identifying common baseline clinical features of COVID-19: a scoping review

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Identifying common baseline clinical features of COVID-19: a scoping review

Daniela Ferreira-Santos et al. BMJ Open. .

Abstract

Objectives: Our research question was: what are the most frequent baseline clinical characteristics in adult patients with COVID-19? Our major aim was to identify common baseline clinical features that could help recognise adult patients at high risk of having COVID-19.

Design: We conducted a scoping review of all the evidence available at LitCovid, until 23 March 2020.

Setting: Studies conducted in any setting and any country were included.

Participants: Studies had to report the prevalence of sociodemographic characteristics, symptoms and comorbidities specifically in adults with a diagnosis of infection by SARS-CoV-2.

Results: In total, 1572 publications were published on LitCovid. We have included 56 articles in our analysis, with 89% conducted in China and 75% containing inpatients. Three studies were conducted in North America and one in Europe. Participants' age ranged from 28 to 70 years, with balanced gender distribution. The proportion of asymptomatic cases were from 2% to 79%. The most common reported symptoms were fever (4%-99%), cough (4%-92%), dyspnoea/shortness of breath (1%-90%), fatigue (4%-89%), myalgia (3%-65%) and pharyngalgia (2%-61%), while regarding comorbidities, we found cardiovascular disease (1%-40%), hypertension (0%-40%) and cerebrovascular disease (1%-40%). Such heterogeneity impaired the conduction of meta-analysis.

Conclusions: The infection by COVID-19 seems to affect people in a very diverse manner and with different characteristics. With the available data, it is not possible to clearly identify those at higher risk of being infected with this condition. Furthermore, the evidence from countries other than China is, at the moment, too scarce.

Keywords: COVID-19; epidemiology; infectious diseases; statistics & research methods.

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Conflict of interest statement

Competing interests: None declared.

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References

    1. Wang C, Horby PW, Hayden FG, et al. . A novel coronavirus outbreak of global health concern. Lancet 2020;395:470–3. 10.1016/S0140-6736(20)30185-9 - DOI - PMC - PubMed
    1. WHO Coronavirus disease 2019 (COVID 2019): situation report, 2020.
    1. Tricco AC, Lillie E, Zarin W, et al. . PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med 2018;169:467–73. 10.7326/M18-0850 - DOI - PubMed
    1. Arksey H, O'Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol 2005;8:19–32. 10.1080/1364557032000119616 - DOI
    1. LitCovid LitCovid, 2020. Available: https://www.ncbi.nlm.nih.gov/research/coronavirus/

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