Evidence map›Paper›PMID 41517588›Full record

ReviewJournal of clinical medicine2026

Asymptomatic Aortic Regurgitation: Evolving Imaging Markers and Contemporary Intervention Strategies.

Chieh-Mei Tsai, Kuan-Yu Lai, Yu-Chien Su, Chi-Han Wu, Casper H H Tsai, Shivam Singh, Li-Tan Yang

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2026. 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

7 authors.

Chieh-Mei TsaiDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-8052-6664
Kuan-Yu LaiDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100225, Taiwan.ORCID 0009-0006-6385-8807
Yu-Chien SuCollege of Medicine, National Taiwan University, Taipei 100225, Taiwan.
Chi-Han WuDepartment of Internal Medicine, National Taiwan University Hospital, Taipei 100225, Taiwan.ORCID 0009-0007-3841-5980
Casper H H TsaiDepartment of Surgery, National Taiwan University Hospital, Taipei 100225, Taiwan.
Shivam SinghDepartment of Internal Medicine, Reading Hospital, West Reading, PA 19611, USA.
Li-Tan YangCollege of Medicine, National Taiwan University, Taipei 100225, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asymptomatic aortic regurgitation (AR) has traditionally been managed conservatively until symptom onset or overt left ventricular systolic dysfunction. However, adverse myocardial remodeling-detected by myocardial strain, volumetric cardiac magnetic resonance, and fibrosis imaging-often precedes current guideline thresholds for interventions and may be irreversible. Advances in multimodal imaging now enable earlier risk stratification beyond conventional metrics. In parallel, intervention strategies are evolving, including valve repair, valve-sparing root replacement, Ross procedure, and transcatheter aortic valve replacement in selected high-risk patients. This narrative review summarizes contemporary advances in imaging and intervention for asymptomatic AR, while critically appraising current evidentiary and technical limitations that constrain earlier intervention. The review is based on a narrative synthesis of the contemporary literature, drawing from recent clinical studies, imaging advances, and guideline documents rather than a systematic evidence search.

Indexed as

aortic regurgitationcardiac magnetic resonanceglobal longitudinal strainmultimodal imagingRoss proceduretranscatheter aortic valve replacementvalve repair

Identifiers

PMID41517588
PMCPMC12786793

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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.