Evidence map›Paper›PMID 39234048›Full record

SynthesisFrontiers in medicine2024

Prevalence of skin manifestations in patients with COVID-19: a systematic review and meta-analysis.

Beatriz Regina Lima de Aguiar, Elaine Barros Ferreira, Graziela De Luca Canto, Eliete Neves Silva Guerra, Paula Elaine Diniz Dos Reis

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Beatriz Regina Lima de Aguiar *Health Science Graduate Program, School of Health Sciences, University of Brasilia, Brasília, Brazil.
Elaine Barros Ferreira *Interdisciplinary Laboratory of Research Applied to Clinical Practice in Oncology, School of Health Sciences, University of Brasilia, Brasília, Brazil.
Graziela De Luca Canto *Department of Dentistry, Brazilian Centre for Evidence-Based Research, Federal University of Santa Catarina, Florianopolis, Brazil.
Eliete Neves Silva Guerra *Health Science Graduate Program, School of Health Sciences, University of Brasilia, Brasília, Brazil.
Paula Elaine Diniz Dos Reis *Health Science Graduate Program, School of Health Sciences, University of Brasilia, Brasília, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 presents extrapulmonary manifestations that can aid in the diagnosis. Skin manifestations have been reported but their characteristics are not yet clear. Health professionals need information about its prevalence and main characteristics. Methods: This systematic review followed the PRISMA criteria. The protocol was registered in the PROSPERO (number CRD42020193173). Seven electronic databases and the gray literature were searched independently by two researchers. Observational analytical studies that presented data on the prevalence of skin manifestations in patients aged 19 or older with COVID-19 were included. Prevalence estimates were synthesized through a meta-analysis using random-effects models. Association meta-analysis and comparisons were performed for individual characteristics. Results: We included 31 studies with 10,934 patients, of which 10,121 tested positive for COVID-19. The general prevalence of skin manifestations was 29% (95% CI: 17.0-43.0; I Conclusion: The global prevalence of skin manifestations is similar to other signs and symptoms of COVID-19. Skin assessment should be considered when investigating and diagnosing COVID-19 in adult and elderly patients.

Indexed as

adultagedCOVID-19meta-analysisskin manifestationsystematic review

Identifiers

PMID39234048
PMCPMC11371801

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.