Evidence map›Paper›PMID 34755810›Full record

ArticleEinstein (Sao Paulo, Brazil)2021

Chest computed tomography in the diagnosis of COVID-19 in patients with false negative RT-PCR.

Eduardo Kaiser Ururahy Nunes Fonseca, Lorena Carneiro Ferreira, Bruna Melo Coelho Loureiro, Daniel Giunchetti Strabelli, Lucas de Pádua Gomes de Farias, Gabriel Abrantes de Queiroz, José Vitor Rassi Garcia, Renato de Freitas Teixeira, Victor Arcanjo Almeida Gama, Rodrigo Caruso Chate and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. COVID-19 and spontaneous pneumothorax: a survival analysis.Journal of cardiothoracic surgery · 2023
    Article
  2. 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

13 authors at 1 institution in 1 country.

Eduardo Kaiser Ururahy Nunes FonsecaHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-0233-0041
Lorena Carneiro FerreiraHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-3960-1375
Bruna Melo Coelho LoureiroHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-7270-2664
Daniel Giunchetti StrabelliHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-0526-5775
Lucas de Pádua Gomes de FariasHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-5195-9818
Gabriel Abrantes de QueirozHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-3391-6835
José Vitor Rassi GarciaHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-5241-1651
Renato de Freitas TeixeiraHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-6952-7247
Victor Arcanjo Almeida GamaHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-6666-2723
Rodrigo Caruso ChateHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-4193-7647
Antonildes Nascimento Assunção JúniorHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-3211-9650
Márcio Valente Yamada SawamuraHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-9424-9776
Cesar Higa NomuraHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-7131-6614
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the role of chest computed tomography in patients with COVID-19 who presented initial negative result in reverse transcriptase-polymerase chain reaction (RT-PCR).

methodsA single-center, retrospective study that evaluated 39 patients with negative RT-PCR for COVID-19, who underwent chest computed tomography and had a final clinical or serological diagnosis of COVID-19. The visual tomographic classification was evaluated according to the Consensus of the Radiological Society of North America and software developed with artificial intelligence for automatic detection of findings and chance estimation of COVID-19.

resultsIn the visual tomographic analysis, only one of them (3%) presented computed tomography classified as negative, 69% were classified as typical and 28% as indeterminate. In the evaluation using the software, only four (about 10%) had a probability of COVID-19 <25%.

conclusionComputed tomography can play an important role in management of suspected cases of COVID-19 with initial negative results in RT-PCR, especially considering those patients outside the ideal window for sample collection for RT-PCR.

Indexed as

COVID-19Artificial IntelligenceHumansLungRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Tomography, X-Ray Computed

Identifiers

PMID34755810
PMCPMC8555875
OpenAlexW3211034034

What OpenQuestion holds

Textmetadata
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.