Evidence map›Paper›PMID 33583973›Full record

ArticleRadiologia brasileira

Chest computed tomography in COVID-19 pneumonia: a retrospective study of 155 patients at a university hospital in Rio de Janeiro, Brazil.

Roberto Mogami, Agnaldo Jose Lopes, Ronaldo Carvalho Araújo Filho, Fernando Carlos Santos de Almeida, Alexandre Malta da Costa Messeder, Ana Celia Baptista Koifman, Amanda Barbosa Guimarães, Alexandra Monteiro

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. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Observational
  3. Chest CT as a Prognostic Tool in COVID-19.Archivos de bronconeumologia · 2022
    Article
  4. Article
  5. Neurofibromatosis type 1.Radiologia brasileira
    Article
  6. Article
  7. Article
  8. Article
  9. Review
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.

Roberto MogamiHospital Universitário Pedro Ernesto da Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0002-7610-2404
Agnaldo Jose LopesHospital Universitário Pedro Ernesto da Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0001-8598-4878
Ronaldo Carvalho Araújo FilhoHospital Universitário Pedro Ernesto da Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0002-8074-4434
Fernando Carlos Santos de AlmeidaHospital Universitário Pedro Ernesto da Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-2233-1874
Alexandre Malta da Costa MessederHospital Universitário Pedro Ernesto da Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-1444-7201
Ana Celia Baptista KoifmanHospital Universitário Pedro Ernesto da Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0003-4498-0250
Amanda Barbosa GuimarãesHospital Universitário Pedro Ernesto da Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0002-3842-2159
Alexandra MonteiroHospital Universitário Pedro Ernesto da Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.ORCID 0000-0002-7832-3315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo define diagnostic criteria for coronavirus disease 2019 (COVID-19) on computed tomography (CT); to study the correlation between CT and polymerase chain reaction (PCR) testing for infection with severe acute respiratory syndrome coronavirus 2; and to determine whether the extent of parenchymal involvement and the need for mechanical ventilation are associated with the CT findings and clinical characteristics of patients with COVID-19. MATERIALS AND

methodsThis was a retrospective study of 155 patients with COVID-19 treated between March and May 2020. We attempted to determine whether the CT findings correlated with age and clinical variables, as well as whether the need for mechanical ventilation correlated with the extent of the pulmonary involvement.

resultsOn average, the patients with COVID-19 were older than were those without (mean age, 54.8 years vs. 45.5 years;

conclusionThe patterns of CT findings are useful for the diagnosis of COVID-19 and the evaluation of disease severity criteria. The presence of any comorbidity is associated with greater severity of COVID-19.

Indexed as

Coronavirus infections/diagnostic imagingPneumonia, viralTomography, X-ray computed

Identifiers

PMID33583973
PMCPMC7863709

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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.