Evidence map›Paper›PMID 41026891›Full record

ArticleEuropean heart journal. Quality of care & clinical outcomes2026

Heart transplant outcomes in patients with substance use disorder history: a nationwide cohort study using high-dimensional propensity score matching.

Kellie Elkrief, Paola Lavin, Kyle T Greenway, Steven D Tate, Filza Hussain, C William Pike, Annie Trepanier, Gavin Hui, Paul Lespérance, Irina Kudrina and 5 more

Abstract read
In one paragraph

Article in European heart journal. Quality of care & clinical outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Modeling the Societal Impact of Methamphetamine-Associated Heart Failure.Journal of the American Heart Association · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Kellie ElkriefResearch Centre, Centre Hospitalier de L'Université de Montréal (CRCHUM), 900 Saint-Denis Street, Montréal, QC, Canada H2X 0A9.ORCID 0009-0005-4461-5730
Paola LavinResearch Centre, Centre Hospitalier de L'Université de Montréal (CRCHUM), 900 Saint-Denis Street, Montréal, QC, Canada H2X 0A9.
Kyle T GreenwayLady Davis Institute, Jewish General Hospital, 3755 Chem. de la Côte-Sainte-Catherine, Montréal, QC, Canada H3T 1E2.
Steven D TateDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305, USA.
Filza HussainDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305, USA.
C William PikeAtropos Health, 71 W 83rd Street, New York, NY 10016-5101, USA.
Annie TrepanierDepartment of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, 2900 boul. Edouard-Montpetit, Montréal, QC, Canada H3T1J4.
Gavin HuiAtropos Health, 71 W 83rd Street, New York, NY 10016-5101, USA.
Paul LespéranceDepartment of Psychiatry and Addictology, Faculty of Medicine, Université de Montréal, 2900 boul. Edouard-Montpetit, Montréal, QC, Canada H3T1J4.
Irina KudrinaResearch Centre, Centre Hospitalier de L'Université de Montréal (CRCHUM), 900 Saint-Denis Street, Montréal, QC, Canada H2X 0A9.
Simon DubreucqResearch Centre, Centre Hospitalier de L'Université de Montréal (CRCHUM), 900 Saint-Denis Street, Montréal, QC, Canada H2X 0A9.
Michael J OstacherDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305, USA.
Didier Jutras-AswadResearch Centre, Centre Hospitalier de L'Université de Montréal (CRCHUM), 900 Saint-Denis Street, Montréal, QC, Canada H2X 0A9.
Anna LembkeDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305, USA.
Nicolas GarelResearch Centre, Centre Hospitalier de L'Université de Montréal (CRCHUM), 900 Saint-Denis Street, Montréal, QC, Canada H2X 0A9.

Funding

Health Services Research Administration Stanford Addiction Medicine Fellowship
6 · The paper itself

Abstract

aimsHistory of substance use is assessed in potential heart transplantation (HT) evaluations. The evidence base for this highly consequential practice, linking substance use disorders (SUDs) with poor post-transplantation outcomes, presents methodological limitations. We conducted a retrospective cohort study to address these limitations using high dimensional propensity score matching to compare HT outcomes of patients with and without SUDs. METHODS AND

resultsKey outcomes included mortality, hospitalization, and organ rejection rates, controlling for confounders. A national dataset of electronic health records of >120 million patients in the USA (2015-23) was used to identify HT patients with SUDs (n = 808) and controls (n = 7066), matched for medical comorbidities and demographic variables. Only after adjusting for sociodemographic and comorbidities of HT recipients, the results revealed no significant differences between groups with and without SUDs at 1 year in mortality [odds ratio (OR) = 0.96 (95% confidence interval, CI): 0.54, 1.69, P = 0.88], hospitalization [OR = 1.02 (95% CI: 0.83, 1.25), P = 0.840)], organ rejection rates [OR = 0.96 (95% CI: 0.78, 1.18), P = 0.670)], nor at 5 years in mortality [hazard ratio (HR) = 1.15 (95% CI: 0.82, 1.61), P = 0.410] and organ rejection [HR = 0.98 (95% CI: 0.84, 1.14), P = 0.810].

conclusionFuture studies must consider confounding factors when evaluating transplant criteria and outcomes in patients with SUDs.

Indexed as

Graft RejectionHeart TransplantationPropensity ScoreSubstance-Related DisordersAdultFemaleHumansMaleMiddle AgedRetrospective StudiesSurvival RateUnited StatesHeart transplantHospitalizationMortalityOrgan rejection rateSubstance use disorder

Identifiers

PMID41026891
PMCPMC12770902

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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.