Evidence map›Paper›PMID 39308397›Full record

ReviewCirculation. Heart failure2024

Prediction of Donor Heart Acceptance for Transplant and Its Clinical Implications: Results From The Donor Heart Study.

Brian Wayda, Yingjie Weng, Shiqi Zhang, Helen Luikart, Thomas Pearson, Javier Nieto, Bruce Nicely, P J Geraghty, John Belcher, John Nguyen and 5 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Circulation. Heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Modernizing the national transplant database.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025
    Review
  3. Reasons for donor heart offer refusal are often unrelated to the donor itself - when, why, and the "weekend effect".The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2025
    Observational
  4. Reasons for donor heart offer refusal in the United States: Results from 14,132 transplant clinician surveys in the Donor Heart Study.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2025
    Observational
  5. 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

15 authors.

Brian WaydaDivision of Cardiology, Department of Medicine, New York University Grossman School of Medicine (B.W., H.L.).ORCID 0000-0001-7005-9938
Yingjie WengQuantitative Sciences Unit, Department of Medicine (Y.W., S.Z.), Stanford University School of Medicine, CA.
Shiqi ZhangQuantitative Sciences Unit, Department of Medicine (Y.W., S.Z.), Stanford University School of Medicine, CA.ORCID 0000-0001-8746-1931
Helen LuikartDivision of Cardiology, Department of Medicine, New York University Grossman School of Medicine (B.W., H.L.).ORCID 0000-0002-9782-4449
Thomas PearsonLifeLink Foundation, Norcross, GA (T.P.).ORCID 0000-0002-8207-8041
Javier NietoLifeGift Organ Procurement Organization, Houston, TX (J. Nieto).ORCID 0009-0000-5906-7021
Bruce NicelyGift of Life Michigan, Ann Arbor (B.N.).
P J GeraghtyDonor Network of Arizona, Tempe (P.J.G.).
John BelcherNew England Donor Services, Waltham, MA (J.B.).
John NguyenDivision of Transplant Surgery, Department of Surgery, University of California San Francisco (J. Nguyen).
Nikole NeidlingerDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison (N.N.).ORCID 0000-0003-3012-5077
Tahnee GroatDepartment of Surgery, Division of Trauma, Critical Care, and Acute Care Surgery, Oregon Health and Science University, Portland (T.G., D.M.).ORCID 0000-0002-8002-7742
Darren MalinoskiDepartment of Surgery, Division of Trauma, Critical Care, and Acute Care Surgery, Oregon Health and Science University, Portland (T.G., D.M.).ORCID 0009-0002-1880-1482
Jonathan G ZaroffDivision of Research, Kaiser Permanente Northern California, Oakland (J.Z.).ORCID 0000-0002-2513-0464
Kiran K KhushDivision of Cardiovascular Medicine, Department of Medicine (K.K.K.), Stanford University School of Medicine, CA.ORCID 0000-0001-9697-5926

Funding

Evidence Based Evaluation and Acceptance of Donor Hearts for TransplantationR01HL125303 · NHLBI · STANFORD UNIVERSITY · PI KHUSH, KIRAN KAUR · 2015 to 2019
$3.0M
Narrowing the gap between supply and demand in heart transplantationF32HL154750 · NHLBI · STANFORD UNIVERSITY · PI WAYDA, BRIAN · 2022 to 2024
$165k
NHLBI NIH HHS F32 HL154750NHLBI NIH HHS R01 HL125303
6 · The paper itself

Abstract

backgroundDespite a shortage of potential donors for heart transplant in the United States, most potential donor hearts are discarded. We evaluated predictors of donor heart acceptance in the United States and applied machine learning methods to improve prediction.

methodsWe included a nationwide (2005-2020) cohort of potential heart donors in the United States (n=73 948) from the Scientific Registry of Transplant Recipients and a more recent (2015-2020) rigorously phenotyped cohort of potential donors from DHS (Donor Heart Study; n=4130). We identified predictors of acceptance for heart transplant in both cohorts using multivariate logistic regression, incorporating time-interaction terms to characterize their varying effects over time. We fit models predicting acceptance for transplant in a 50% training subset of DHS using logistic regression, least absolute shrinkage and selection operator, and random forest algorithms and compared their performance in the remaining 50% (test) of the subset.

resultsPredictors of donor heart acceptance were similar in the nationwide and DHS cohorts. Among these, older age (

conclusionsPredictors of donor heart acceptance for transplantation have changed significantly over the last 2 decades, likely reflecting evolving evidence regarding their impact on posttransplant outcomes. Real-time prediction of donor heart acceptance, using our web-based tool, may improve efficiency during donor management and heart allocation.

Indexed as

Heart TransplantationTissue DonorsAdultDonor SelectionFemaleHumansMachine LearningMaleMiddle AgedRegistriesTime FactorsUnited Statesdonor selectionheart transplantationmachine learningrandom foresttissue and organ procurement

Identifiers

PMID39308397
PMCPMC11620729

What OpenQuestion holds

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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.