Evidence map›Paper›PMID 42233929›Full record

ArticleJournal of the American College of Cardiology2026

Estimating the Effects of MTEER in U.S. Practice: A Transportability Analysis of the COAPT Trial.

Christina Lalani, Neel Butala, Huaying Dong, Yang Song, Gregg W Stone, Michael J Mack, Bahira Shahim, Dhruv S Kazi, David J Cohen, Issa J Dahabreh and 1 more

Abstract read
In one paragraph

Article in Journal of the American College of Cardiology, 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

11 authors.

Christina LalaniDivision of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA; Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Neel ButalaDivision of Cardiology, Rocky Mountain Regional VA Medical Center, University of Colorado School of Medicine, Aurora, Colorado, USA.
Huaying DongRichard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Yang SongRichard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Gregg W StoneIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Michael J MackThe Heart Hospital Plano, Baylor Scott & White, Plano, Texas, USA.
Bahira ShahimDivision of Cardiology, Department of Medicine, Karolinska Institute, Stockholm, Sweden.
Dhruv S KaziDivision of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA; Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
David J CohenCardiovascular Research Foundation, New York, New York, USA; Division of Cardiology, St Francis Hospital, Roslyn, New York, USA.
Issa J DahabrehDivision of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA; Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA; CAUSALab, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Robert W YehDivision of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA; Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: ryeh@bidmc.harvard.edu.

Funding

Use of Registries, Claims and Health System Data to Enhance the Evaluation of Cardiovascular Therapies in Clinical TrialsR01HL136708 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Issa J. Dahabreh, Robert Yeh · 2017 to 2026
$6.9M
NHLBI NIH HHS R01 HL136708
6 · The paper itself

Abstract

backgroundAlthough mitral transcatheter edge-to-edge repair (MTEER) was approved for secondary mitral regurgitation after the COAPT trial, findings of other MTEER trials have been mixed, raising questions about the applicability of the COAPT results to contemporary clinical practice.

objectivesWe used transportability methods to estimate the treatment effects of COAPT trial interventions applied to 2 target populations: 1) trial-eligible patients representative of U.S. clinical practice; and 2) treatment-candidate patients with secondary mitral regurgitation representative of U.S. clinical practice, regardless of trial eligibility.

methodsWe identified patients from the Society of Thoracic Surgeons/American College of Cardiology Transcatheter Valve Therapy (TVT) Registry who were treated with MTEER for secondary mitral regurgitation from March 14, 2019 to September 30, 2023. To select trial-eligible individuals, we applied COAPT trial eligibility criteria to the TVT Registry sample. We used inverse odds of participation weighting to standardize patient-level COAPT data to the data distribution of each target population sample and estimated treatment-specific outcomes. The primary outcome was heart failure hospitalization at 2 years. We also examined 10 secondary outcomes, including all-cause death.

resultsOur analyses included 614 COAPT trial patients and 15,275 TVT Registry patients, of which 7,289 were COAPT trial-eligible. Trial-eligible TVT Registry patients were less likely to have ischemic cardiomyopathy (34.1% vs 60.8%) and more likely to have 4+ mitral regurgitation (79.4% vs 47.9%) compared with trial patients. We estimated that compared with medical therapy alone, MTEER in conjunction with other COAPT interventions (eg, optimization of medical therapy) in the trial-eligible population would result in 2-year absolute risk reductions of 17.0% for heart failure hospitalizations (95% CI: -28.7% to -5.7%) and 15.4% for all-cause death (95% CI: -26.6% to -5.2%), effect sizes similar to those estimated in the trial (P for difference between the trial and target populations >0.05 for both outcomes). The estimated treatment effect for heart failure hospitalizations in the broader treatment-candidate target population was also similar to that in the COAPT trial (P for difference = 0.90).

conclusionsAlthough COAPT trial patients had different baseline characteristics than patients undergoing MTEER in contemporary U.S. practice, we estimated that treatment effects would be similar had real-world patients received COAPT trial interventions, under the assumptions required for transportability (eg, conditional exchangeability across data sources, positivity of trial participation).

Indexed as

COAPTreal-worldtransportabilityTVT Registry

Identifiers

PMID42233929
PMCPMC13334412

What Socratic holds

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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 Socratic graph.