Evidence map›Paper›PMID 32904780›Full record

ArticleRadiologia brasileira

Thoracic tomographic manifestations in symptomatic respiratory patients with COVID-19.

Lucas de Pádua Gomes de Farias, Daniel Giunchetti Strabelli, Eduardo Kaiser Ururahy Nunes Fonseca, Bruna Melo Coelho Loureiro, Cesar Higa Nomura, Márcio Valente Yamada Sawamura

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  5. Pulmonary infarctions as the cause of bilateral cavitations in a patient with COVID-19.Diagnostic and interventional radiology (Ankara, Turkey) · 2021
    Article
  6. A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020.International journal of environmental research and public health · 2021
    Article
  7. COVID-19 myocarditis: a case report.Einstein (Sao Paulo, Brazil) · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Neurofibromatosis type 1.Radiologia brasileira
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

6 authors.

Lucas de Pádua Gomes de FariasInstituto de Radiologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InRad/HC-FMUSP), São Paulo, SP, Brazil.ORCID https://orcid.org/0000-0001-5195-9818
Daniel Giunchetti StrabelliInstituto de Radiologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InRad/HC-FMUSP), São Paulo, SP, Brazil.ORCID https://orcid.org/0000-0002-0526-5775
Eduardo Kaiser Ururahy Nunes FonsecaInstituto de Radiologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InRad/HC-FMUSP), São Paulo, SP, Brazil.ORCID https://orcid.org/0000-0002-0233-0041
Bruna Melo Coelho LoureiroInstituto de Radiologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InRad/HC-FMUSP), São Paulo, SP, Brazil.ORCID https://orcid.org/0000-0002-7270-2664
Cesar Higa NomuraInstituto de Radiologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InRad/HC-FMUSP), São Paulo, SP, Brazil.ORCID https://orcid.org/0000-0002-7131-6614
Márcio Valente Yamada SawamuraInstituto de Radiologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (InRad/HC-FMUSP), São Paulo, SP, Brazil.ORCID https://orcid.org/0000-0002-9424-9776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China was the epicenter for the novel coronavirus disease (COVID-19), which quickly spread to other Asian countries and later to Western countries; subsequently, COVID-19 was categorized as a pandemic by the World Health Organization. Diagnosis primarily depends on viral detection in respiratory samples; however, available kits are limited, lack high sensitivity, and have a long turnaround time for providing results. In this scenario, computed tomography has emerged as an efficient and available high-sensitivity method, allowing radiologists to readily recognize findings related to COVID-19. The objective of this article is to demonstrate the main tomographic findings in symptomatic respiratory patients with COVID-19 to assist medical professionals during this critical moment.

Indexed as

CoronavirusCOVID-19Multislice computed tomography

Identifiers

PMID32904780
PMCPMC7458567

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.