Evidence map›Paper›PMID 40207354›Full record

ReviewCirculation. Cardiovascular imaging2025

Multimodality Imaging of Arrhythmic Risk in Mitral Valve Prolapse.

Luca Cristin, Lionel Tastet, Dipan J Shah, Marc A Miller, Francesca N Delling

Abstract readReview
In one paragraph

Review in Circulation. Cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

5 authors.

Luca CristinDepartment of Medicine (Cardiovascular Division), University of California, San Francisco (L.C., L.T., F.N.D.).ORCID 0009-0003-2932-8659
Lionel TastetDepartment of Medicine (Cardiovascular Division), University of California, San Francisco (L.C., L.T., F.N.D.).ORCID 0000-0002-6374-5398
Dipan J ShahDepartment of Cardiology, Houston Methodist, Weill Cornell Medical College, Houston, TX (D.J.S.).ORCID 0000-0002-6179-2393
Marc A MillerHelmsley Electrophysiology Center, Icahn School of Medicine at Mount Sinai, New York, NY (M.A.M.).
Francesca N DellingDepartment of Medicine (Cardiovascular Division), University of California, San Francisco (L.C., L.T., F.N.D.).ORCID 0000-0002-5224-4096

Funding

Prospective sudden cardiac death risk stratification using CMR and echocardiography machine learning in mitral valve prolapseR01HL153447 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DELLING, FRANCESCA N · 2020 to 2024
$4.7M
NHLBI NIH HHS R01 HL153447
6 · The paper itself

Abstract

Mitral valve prolapse (MVP) affects 2% to 3% of the general population and is typically benign. However, a subset of patients may develop arrhythmic complications, including sudden cardiac arrest and sudden cardiac death. This review explores the critical role of multimodality imaging in risk stratification for arrhythmic MVP, emphasizing high-risk features such as bileaflet involvement, mitral annular disjunction, the double-peak strain pattern, mechanical dispersion, and myocardial fibrosis. Echocardiography remains the first-line imaging tool for MVP diagnosis, enabling detailed assessment of leaflet morphology, mitral annular disjunction, and mitral regurgitation quantification. Speckle tracking provides insights into abnormal valvular-myocardial mechanics as a potential arrhythmogenic mechanism in MVP. Cardiac magnetic resonance (CMR) offers detailed myocardial tissue characterization through assessment of replacement and interstitial fibrosis using late gadolinium enhancement and T

Indexed as

Arrhythmias, CardiacMitral ValveMitral Valve ProlapseMultimodal ImagingEchocardiographyHumansPredictive Value of TestsPrognosisRisk AssessmentRisk Factorsalgorithmsarrhythmias, cardiacartificial intelligencedeath, sudden, cardiacechocardiographyfibrosismitral valve prolapse

Identifiers

PMID40207354
PMCPMC12092187

What OpenQuestion holds

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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.