Evidence map›Paper›PMID 38985216›Full record

ArticleThe international journal of cardiovascular imaging2024

Clinical outcome of patients with rheumatic tricuspid valve disease: matched cohort study.

Igor Marques Jordão, Alana Helen Santos Matos, Ana Beatriz Prates, Beatriz Dias Pinheiro, André Barbosa de Andrade, Isadora Gonçalves Roque, Lucas Lopes Toledo, Fernando Coletti Mazarão, Jose Luiz Padilha da Silva, Luiz Guilherme Passaglia and 2 more

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Article in The international journal of cardiovascular imaging, 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. 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

12 authors.

Igor Marques JordãoHospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, 30130-100, MG, Brazil.
Alana Helen Santos MatosHospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, 30130-100, MG, Brazil.
Ana Beatriz PratesHospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, 30130-100, MG, Brazil.
Beatriz Dias PinheiroHospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, 30130-100, MG, Brazil.
André Barbosa de AndradeHospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, 30130-100, MG, Brazil.
Isadora Gonçalves RoqueHospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, 30130-100, MG, Brazil.
Lucas Lopes ToledoHospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, 30130-100, MG, Brazil.
Fernando Coletti MazarãoHospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, 30130-100, MG, Brazil.
Jose Luiz Padilha da SilvaDepartment of Statistics, Universidade Federal do Paraná, Curitiba, PR, Brazil.
Luiz Guilherme PassagliaHospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, 30130-100, MG, Brazil.
William Antonio de Magalhães EstevesDepartment of Statistics, Universidade Federal do Paraná, Curitiba, PR, Brazil.
Maria Carmo P NunesHospital das Clínicas and Faculdade de Medicina, Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, 30130-100, MG, Brazil. mcarmo@waymail.com.br.

Funding

the National Council for Scientific and Technological Development (CNPq) Project number 431138/2018-4
6 · The paper itself

Abstract

Rheumatic heart disease (RHD) is still a major health problem, especially in low- to mid-income countries, leading premature deaths owing to valvular disease. Although left-sided valvular involvement is most commonly seen in RHD, the tricuspid valve can also be affected. However, there is a lack of information about the prognostic value of primary tricuspid valve (TV) disease in RHD. This study aimed to determine the impact of TV disease on clinical outcome in RHD. This prospective study enrolled patients with rheumatic mitral valve disease (MVD) referred to a tertiary center for management of heart valve disease. Primary rheumatic TV disease was defined by echocardiographic features including thickening of leaflets associated with some degree of restricted mobility. Patients with rheumatic TV disease were matched to patients with MVD using 1:1 genetic matching algorithm that maximized balance of baseline covariates prior to exploring outcome differences. The main outcome was either need for MV replacement or death. Among 694 patients eligible for the study, age of 47 ± 13 years, 84% female, 39 patients (5.6%) had rheumatic TV disease. After excluding patients with incomplete data, 33 patients with TV disease were matched to 33 controls based on age, right-sided heart failure, atrial fibrillation, and MV area. During a mean follow-up of 42 months (median 28, IQR 8 to 71 months), 32 patients (48.5%) experienced adverse events, including 6 cardiovascular deaths and 26 patients who underwent surgery for mitral valve replacement. The adjusted analysis demonstrated a significant association between TV disease and the outcome, with a hazard ratio (HR) of 3.386 (95% CI 1.559-7.353; P = 0.002) in the genetic matched cohort with balance on baseline covariates of interest. The model exhibited good discriminative ability, as indicated by a C-statistic of 0.837. In patients with rheumatic mitral valve disease, rheumatic TV disease significantly increased risk of adverse events compared with matched controls. The involvement of TV may express overall disease severity that adversely affects clinical outcome.

Indexed as

Heart Valve Prosthesis ImplantationRheumatic Heart DiseaseTricuspid ValveAdultCase-Control StudiesFemaleHeart Valve DiseasesHumansKaplan-Meier EstimateMaleMiddle AgedMitral ValvePredictive Value of TestsProportional Hazards ModelsProspective StudiesRisk FactorsOutcomeRheumatic heart diseaseRheumatic mitral valve diseaseRheumatic tricuspid valve disease

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Registered trials

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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.