Evidence map›Paper›PMID 42281844›Full record

ArticleStructural heart : the journal of the Heart Team2026

The Clinical and Economic Consequences of Delayed Transcatheter Aortic Valve Replacement.

Sreekanth Vemulapalli, Mark Russo, Shannon Murphy, Soumya Chikermane, Seth Clancy, Curtiss Stinis

Abstract read
In one paragraph

Article in Structural heart : the journal of the Heart Team, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Sreekanth VemulapalliDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Mark RussoDivision of Cardiac Surgery, Rutgers-Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Shannon MurphyGlobal Health Economics and Reimbursement, Edwards Lifesciences, Irvine, California, USA.
Soumya ChikermaneGlobal Health Economics and Reimbursement, Edwards Lifesciences, Irvine, California, USA.
Seth ClancyGlobal Health Economics and Reimbursement, Edwards Lifesciences, Irvine, California, USA.
Curtiss StinisDivision of Interventional Cardiology, Scripps Clinic and Research Foundation, La Jolla, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Delays in access to aortic valve replacement, the recommended treatment for aortic stenosis (AS), is common; however, the impact of this delay is not clearly known. This study aims to examine the clinical and economic consequences of delayed transcatheter aortic valve replacement (TAVR) in patients with clinically significant AS. Methods: We analyzed 4069 patients with clinically significant AS who underwent TAVR between July 2019 and June 2023 using the Optum Market Clarity database. Patients were categorized as timely TAVR (≤90 days from diagnosis) or delayed TAVR (>90 days or urgent/emergent procedure). Clinical outcomes included all-cause mortality, heart failure hospitalizations, stroke, and composite endpoints over 3 years. Economic outcomes included total health care costs and hospitalization utilization. Multivariable Cox proportional hazards and generalized linear models were used for analysis. Results: Of 4069 patients, 2051 (50.4%) received timely TAVR and 2018 (49.6%) received delayed TAVR. Delayed patients had higher frailty scores (10.9 vs. 8.5; Conclusions: Delayed TAVR is associated with substantial clinical and economic consequences, including a 50% higher mortality risk and $36,740 in excess costs over 3 years. These findings support the importance of timely intervention and health care system investments to reduce TAVR wait times.

Identifiers

PMID42281844
PMCPMC13250312

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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.