Evidence map›Paper›PMID 38686364›Full record

ArticleFrontiers in medicine2024

Clinical characteristics and outcomes in COVID-19 in kidney transplant recipients: a propensity score matched cohort study.

Polianna Delfino-Pereira, Vanessa das Graças José Ventura, Magda Carvalho Pires, Daniela Ponce, Gabriel Assis Lopes do Carmo, Lilian Pires de Freitas do Carmo, Bruno Barbosa Miranda de Paiva, Alexandre Vargas Schwarzbold, Angélica Gomides Dos Reis Gomes, Bruno Mateus de Castro and 14 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

24 authors.

Polianna Delfino-Pereira *Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Vanessa das Graças José Ventura *Medical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Magda Carvalho PiresDepartment of Statistics, Institute of Exact Sciences (ICEx), Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Daniela PonceHospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.
Gabriel Assis Lopes do CarmoMedical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Lilian Pires de Freitas do CarmoMedical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Bruno Barbosa Miranda de PaivaComputer Science Department, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Alexandre Vargas SchwarzboldHospital Universitário de Santa Maria, Santa Maria, Brazil.
Angélica Gomides Dos Reis GomesHospitais da Rede Mater Dei, Belo Horizonte, Brazil.
Bruno Mateus de CastroHospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Carísi Anne PolanczykInstitute for Health Technology Assessment (IATS), Porto Alegre, Brazil.
Christiane Corrêa Rodrigues CiminiHospital Santa Rosália, Teófilo Otoni, Brazil.
Daniela Antunes de LimaHospital Márcio Cunha, Ipatinga, Brazil.
Fabiano Carvalho de SousaPontifícia Universidade Católica de Minas Gerais, Betim, Brazil.
Frederico BartolazziHospital Santo Antônio, Curvelo, Brazil.
Giovanna Grunewald ViettaHospital SOS Cárdio, Florianópolis, Brazil.
Heloisa Reniers ViannaHospital Universitário Ciências Médicas, Belo Horizonte, Brazil.
José Miguel ChatkinHospital São Lucas PUCRS, Porto Alegre, Brazil.
Karen Brasil RuschelInstitute for Health Technology Assessment (IATS), Porto Alegre, Brazil.
Luciane KopittkeHospital Nossa Senhora da Conceição, Porto Alegre, Brazil.
Luís César de CastroHospital Bruno Born, Lajeado, Brazil.
Marcelo CarneiroHospital Santa Cruz, Santa Cruz do Sul, Brazil.
Priscilla Pereira Dos ReisHospital Metropolitano Doutor Célio de Castro, Belo Horizonte, Brazil.
Milena Soriano MarcolinoMedical School, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with chronic kidney disease (CKD), especially those on dialysis or who have received a kidney transplant (KT), are considered more vulnerable to severe COVID-19. This susceptibility is attributed to advanced age, a higher frequency of comorbidities, and the chronic immunosuppressed state, which may exacerbate their susceptibility to severe outcomes. Therefore, our study aimed to compare the clinical characteristics and outcomes of COVID-19 in KT patients with those on chronic dialysis and non-CKD patients in a propensity score-matched cohort study. This multicentric retrospective cohort included adult COVID-19 laboratory-confirmed patients admitted from March/2020 to July/2022, from 43 Brazilian hospitals. The primary outcome was in-hospital mortality. Propensity score analysis matched KT recipients with controls - patients on chronic dialysis and those without CKD (within 0.25 standard deviations of the logit of the propensity score) - according to age, sex, number of comorbidities, and admission year. This study included 555 patients: 163 KT, 146 on chronic dialysis, and 249 non-CKD patients (median age 57 years, 55.2% women). With regards to clinical outcomes, chronic dialysis patients had a higher prevalence of acute heart failure, compared to KT recipients, furthermore, both groups presented high in-hospital mortality, 34.0 and 28.1%, for KT and chronic dialysis patients, respectively. When comparing KT and non-CKD patients, the first group had a higher incidence of in-hospital dialysis (26.4%

Indexed as

chronic kidney diseaseclinical characteristicsCOVID-19dialysiskidney transplantationoutcomes

Identifiers

PMID38686364
PMCPMC11056524

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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.