Evidence map›Paper›PMID 38502952›Full record

ArticleJornal brasileiro de nefrologia

COVID-19 Computed tomography patterns in renal replacement therapy patients.

Gabriel Assis Lopes do Carmo, Mariana Paiva Oliveira, Anna Luiza Lino Campos, Bráulio Roberto Gonçalves Marinho Couto, Lilian Pires de Freitas do Carmo, Tiago Lemos Cerqueira, Camila Alencar Monteiro de Souza, Yan Lopes Goll, Vitor Santos de Souza, Mariana Oliveira Guimarães Vieira and 3 more

Open access · diamondAbstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

13 authors at 2 institutions in 2 countries.

Gabriel Assis Lopes do CarmoHospital Evangélico de Belo Horizonte, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-3610-6507
Mariana Paiva OliveiraHospital Felicio Rocho, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0001-6950-4643
Anna Luiza Lino CamposHospital Felicio Rocho, Belo Horizonte, MG, Brazil.
Bráulio Roberto Gonçalves Marinho CoutoHospital Evangélico de Belo Horizonte, Belo Horizonte, MG, Brazil.
Lilian Pires de Freitas do CarmoHospital Evangélico de Belo Horizonte, Belo Horizonte, MG, Brazil.
Tiago Lemos CerqueiraHospital Evangélico de Belo Horizonte, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-8651-4728
Camila Alencar Monteiro de SouzaUniversidade Federal de Minas Gerais, Faculdade de Medicina, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-0977-9570
Yan Lopes GollUniversidade Federal de Minas Gerais, Faculdade de Medicina, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0009-0001-9776-7632
Vitor Santos de SouzaUniversidade Federal de Minas Gerais, Faculdade de Medicina, Belo Horizonte, MG, Brazil.
Mariana Oliveira Guimarães VieiraUniversidade Federal de Minas Gerais, Faculdade de Medicina, Belo Horizonte, MG, Brazil.
Pedro Alves Soares Vaz de CastroUniversidade Federal de Minas Gerais, Faculdade de Medicina, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0002-1183-7610
Pedro Augusto Botelho LemosHospital Evangélico de Belo Horizonte, Belo Horizonte, MG, Brazil.
Ana Cristina Simões E SilvaUniversidade Federal de Minas Gerais, Faculdade de Medicina, Laboratório Interdisciplinar de Investigação Médica, Unidade de Nefrologia Pediátrica, Belo Horizonte, MG, Brazil.ORCID http://orcid.org/0000-0001-9222-3882
Universidade Federal de Minas Gerais · BRWeatherford College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLung diseases are common in patients with end stage kidney disease (ESKD), making differential diagnosis with COVID-19 a challenge. This study describes pulmonary chest tomography (CT) findings in hospitalized ESKD patients on renal replacement therapy (RRT) with clinical suspicion of COVID-19.

methodsESKD individuals referred to emergency department older than 18 years with clinical suspicion of COVID-19 were recruited. Epidemiological baseline clinical information was extracted from electronic health records. Pulmonary CT was classified as typical, indeterminate, atypical or negative. We then compared the CT findings of positive and negative COVID-19 patients.

resultsWe recruited 109 patients (62.3% COVID-19-positive) between March and December 2020, mean age 60 ± 12.5 years, 43% female. The most common etiology of ESKD was diabetes. Median time on dialysis was 36 months, interquartile range = 12-84. The most common pulmonary lesion on CT was ground glass opacities. Typical CT pattern was more common in COVID-19 patients (40 (61%) vs 0 (0%) in non-COVID-19 patients, p < 0.001). Sensitivity was 60.61% (40/66) and specificity was 100% (40/40). Positive predictive value and negative predictive value were 100% and 62.3%, respectively. Atypical CT pattern was more frequent in COVID-19-negative patients (9 (14%) vs 24 (56%) in COVID-19-positive, p < 0.001), while the indeterminate pattern was similar in both groups (13 (20%) vs 6 (14%), p = 0.606), and negative pattern was more common in COVID-19-negative patients (4 (6%) vs 12 (28%), p = 0.002).

conclusionsIn hospitalized ESKD patients on RRT, atypical chest CT pattern cannot adequately rule out the diagnosis of COVID-19.

Indexed as

COVID-19Kidney Failure, ChronicAgedFemaleHumansLungMaleMiddle AgedRenal DialysisRetrospective StudiesSARS-CoV-2Tomography, X-Ray Computed

Identifiers

PMID38502952
PMCPMC11300031
OpenAlexW4392694155

What OpenQuestion holds

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LicenceCC BY
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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.