Evidence map›Paper›PMID 39935630›Full record

ArticleEuropean heart journal. Imaging methods and practice2025

Prediction of tricuspid regurgitation regression after mitral valve transcatheter edge-to-edge repair using three-dimensional transoesophageal echocardiography.

Makoto Takeuchi, Hiroto Utsunomiya, Kiyotaka Tohgi, Ayano Hamada, Yohei Hyodo, Akane Tsuchiya, Atsuo Mogami, Hajime Takemoto, Kanako Izumi, Kosuke Takahari and 4 more

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2025. 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

14 authors.

Makoto TakeuchiDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Hiroto UtsunomiyaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.ORCID https://orcid.org/0000-0002-6587-9584
Kiyotaka TohgiDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Ayano HamadaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Yohei HyodoDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Akane TsuchiyaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Atsuo MogamiDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Hajime TakemotoDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Kanako IzumiDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Kosuke TakahariDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Yusuke UedaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Kiho ItakuraDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Hiroki IkenagaDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.
Yukiko NakanoDepartment of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima 734-8551, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: We aimed to identify three-dimensional echocardiographic predictors of tricuspid regurgitation (TR) regression in patients with functional TR of moderate or greater severity undergoing mitral valve transcatheter edge-to-edge repair to optimize patient selection and improve clinical outcomes. Methods and results: This retrospective study analysed 61 patients (mean age 81.3 ± 7.6 years; 55.7% males) who underwent mitral valve transcatheter edge-to-edge repair. Two-dimensional transthoracic echocardiography was performed pre- and 1-month post-procedurally, while three-dimensional transoesophageal echocardiography was performed pre-procedurally. We collected data on clinical variables, medications, and detailed echocardiographic measurements to evaluate procedural outcomes. Tricuspid regurgitation severity was semiquantitatively assessed and categorized. At the 1-month follow-up, TR severity had regressed in 43% of patients. A lower prevalence of atrial fibrillation, smaller left atrial volume index, and smaller right atrial area were significantly associated with TR regression. Multivariate analysis revealed the tricuspid valve annulus perimeter, area, and area change as significant predictors of post-procedure TR regression; tricuspid valve annulus perimeter was the strongest predictor among the three indicators [area under the receiver operating characteristic curve, 0.84 (95% confidence interval: 0.75-0.94), Conclusion: In patients with relatively severe mitral regurgitation with a non-dilated tricuspid annulus and significant change in tricuspid valve annulus area, mitral valve transcatheter edge-to-edge repair may lead to TR regression.

Indexed as

3D-echocardiographymitral valve transcatheter edge-to-edge repairtricuspid regurgitationtricuspid valve annulus areatricuspid valve annulus perimeter

Identifiers

PMID39935630
PMCPMC11811635

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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.