Evidence map›Paper›PMID 41523926›Full record

ArticleRadiologia brasileira

Laboratory test results and computed tomography findings in health care professionals with COVID-19.

Danilo Alves de Araujo, Igor Duarte Pinto Paciello, Samuel Herdy Figueira, Victor Teixeira Ramos Lopes, João Pedro Coelho de Oliveira Barros, Lucas Vazquez Barreira Ranzeiro de Bragança, Matheus Rodrigues Miranda, Alair Augusto Sarmet Moreira Damas Dos Santos

Abstract read
In one paragraph

Article in Radiologia brasileira. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Danilo Alves de AraujoFaculdade de Medicina da Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0000-0001-6200-0186
Igor Duarte Pinto PacielloFaculdade de Medicina da Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0009-0009-7426-7529
Samuel Herdy FigueiraFaculdade de Medicina da Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0009-0001-3068-7646
Victor Teixeira Ramos LopesFaculdade de Medicina da Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0009-0006-5444-8136
João Pedro Coelho de Oliveira BarrosFaculdade de Medicina da Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0009-0000-3950-2225
Lucas Vazquez Barreira Ranzeiro de BragançaFaculdade de Medicina da Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0009-0009-0654-1936
Matheus Rodrigues MirandaFaculdade de Medicina da Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0009-0000-1928-6051
Alair Augusto Sarmet Moreira Damas Dos SantosFaculdade de Medicina da Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.ORCID 0000-0002-8640-3657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the intensity, characteristics, and distribution of computed tomography (CT) findings of pulmonary involvement, as well as to evaluate laboratory test results, in health care professionals who were exposed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Materials and Methods: This was a retrospective, cross-sectional, observational study based on the analysis of laboratory test results and chest CT images of health care workers with confirmed coronavirus disease 2019 (COVID-19). Data for the period from March 2020 to December 2022 were collected from two hospitals in Brazil. Results: We identified 1,091 health care professionals in whom a RT-PCR was positive for SARS-CoV-2. However, only 38 of those individuals underwent chest CT. Of the 38 individuals evaluated, 89.5% were treated at one of the hospitals and 57.9% were male. The mean age was 55.6 years. The most common finding (in 100% of the cases) was ground-glass opacity, followed by septal thickening (in 31.6%) and consolidation (in 23.7%). Pulmonary involvement was multifocal in 76.3% and predominantly subpleural in 71.0%. The extent of the involvement was classified as mild in 24% of the cases, moderate in 47%, and severe in 29%. The most commonly affected lung region (in 60.7% of cases) was the lower lobes, particularly the right posterior basal segmental bronchus (segment B10). Conclusion: For evaluating lung involvement, CT was essential, aiding in postinfection monitoring and in the early management of complications. Among the health care professionals evaluated, moderate involvement predominated.

Indexed as

COVID-19Health personnelThorax.TomographyX-ray computed

Identifiers

PMID41523926
PMCPMC12784455

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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.