Evidence map›Paper›PMID 40900200›Full record

ArticleThe international journal of cardiovascular imaging2025

CT assessment of right heart anatomy across tricuspid regurgitation severity grades: implications for transcatheter interventions.

Domenico Angellotti, Polydoros Ν Kampaktsis, Alessandro Sticchi, Hari Vivekanantham, Joanna Bartkowiak, Anna Franzone, Thomas Pilgrim, Nicolas Brugger, Stephan Windecker, Christoph Gräni and 4 more

Abstract readMulticenter Study
In one paragraph

Article in The international journal of cardiovascular imaging, 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  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

14 authors.

Domenico Angellotti *Department of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Polydoros Ν Kampaktsis *Department of Medicine, Division of Cardiology, Structural Heart and Valve Center, Columbia University Medical Center, New York, NY, USA.
Alessandro Sticchi *Department of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Hari VivekananthamDepartment of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Joanna BartkowiakDepartment of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Anna FranzoneDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Thomas PilgrimDepartment of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Nicolas BruggerDepartment of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Stephan WindeckerDepartment of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Christoph GräniDepartment of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland.
Susheel K KodaliDepartment of Medicine, Division of Cardiology, Structural Heart and Valve Center, Columbia University Medical Center, New York, NY, USA.
Rebecca T HahnDepartment of Medicine, Division of Cardiology, Structural Heart and Valve Center, Columbia University Medical Center, New York, NY, USA.
Omar Khalique *St Francis Hospital and Heart Center, Roslyn, NY, USA.
Fabien Praz *Department of Cardiology, Bern University Hospital, University of Bern, Bern, Switzerland. fabien.praz@insel.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA five-grade severity scheme has been introduced for echocardiographic grading of tricuspid regurgitation (TR). Although higher TR grades have been associated with worse prognosis, it is unknown whether they can help determining patient eligibility for transcatheter tricuspid valve interventions (TTVI) and correspond to different anatomical phenotypes. The aim of our study was to investigate the relationship between TR severity and tricuspid valve (TV) anatomy and determine the screening failure rate for TTVI.

methodsThe anatomy of TV, right heart and venae cavae in patients with significant TR having undergone cardiac CT scan, was investigated using 3-mensio software and correlated with TR severity determined by echocardiography.

resultsOne hundred patients from two tertiary centers were retrospectively included into the present analysis. Nine patients had moderate, 40 severe, 22 massive and 29 torrential TR. Pre-screening eligibility assessment showed comparable screening failure rates among patients with severe, massive and torrential TR for the Cardioband (35.0% vs. 40.9% vs. 34.5%, p = 0.79), TricValve (50.0% vs. 63.6% vs. 55.1%, p = 0.27), EVOQUE (30.0% vs. 27.3% vs. 31.1%, respectively, p = 0.84), Cardiovalve (50.0% vs. 36.4% vs. 44.8%, p = 0.37) and LuX-Valve (20.0% vs. 27.3% vs. 24.1%, p = 0.26) systems. No significant differences in CT-derived tricuspid annulus area, perimeter and diameter were observed between patients with severe, massive and torrential TR, while right atrium (p < 0.001) and right ventricle length (p = 0.014) significantly increased with progressive TR severity.

conclusionCT imaging evaluation suggests similar eligibility rates for current TTVI devices and comparable TV anatomical phenotypes between patients with severe, massive, and torrential TR.

Indexed as

Cardiac CatheterizationHeart Valve Prosthesis ImplantationMultidetector Computed TomographyTomography, X-Ray ComputedTricuspid ValveTricuspid Valve InsufficiencyAgedAged, 80 and overClinical Decision-MakingEligibility DeterminationFemaleHumansMaleMiddle AgedPatient SelectionPredictive Value of TestsComputed tomographyPatient selectionTranscatheter tricuspid interventionTricuspid regurgitation

Identifiers

PMID40900200
PMCPMC12491369

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LicenceCC BY
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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.