Evidence map›Paper›PMID 42403905›Full record

ArticleFrontiers in cardiovascular medicine2026

Radiation-associated bioprosthetic valve dysfunction: an initial case-control analysis.

Ioana Petrescu, Atif M Islam, Brian Blair, Bibhu D Mohanty

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ioana PetrescuDepartment of Cardiology, West Virginia University, Morgantown, WV, United States.
Atif M IslamMorsani College of Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Brian BlairDepartment of Internal Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
Bibhu D MohantyDivision of Cardiovascular Sciences, University of South Florida Morsani College of Medicine, Tampa, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Radiation therapy (RT) for intrathoracic and breast malignancies has been associated with long-term valvular heart disease (VHD) in native valves. However, its impact on bioprosthetic heart valves remains unclear. We aimed to assess changes in transvalvular gradients following RT in patients with previously implanted bioprosthetic valves. Methods: We identified 23 patients who underwent bioprosthetic valve implantation followed by chest RT and compared them with matched controls who did not receive RT. Serial echocardiographic gradients were analyzed post-implantation, pre-RT, and at two intervals post-RT (within 12 months and at 12-24 months). Univariable linear regression was used to evaluate associations between RT dose metrics, timing of RT, and changes in transvalvular gradients. Results: Transvalvular gradients remained stable in control patients but increased significantly over time in the RT group (Friedman's test Conclusion: Chest RT is associated with early, dose-dependent elevations in transvalvular gradients among patients with bioprosthetic valves. Although the observed changes were modest and did not necessitate re-intervention, these findings highlight the need for long-term surveillance and further research to understand the durability of irradiated bioprosthetic valves.

Indexed as

bioprosthetic valvecardiotoxicityhemodynamicsradiation-associated heart diseaseradiotherapytransvalvular gradientvalve durabilityvalvular heart disease

Identifiers

PMID42403905
PMCPMC13327999

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.