Evidence map›Paper›PMID 38349372›Full record

Observational studyJAMA2024

Development and Validation of a Risk Score Predicting Death Without Transplant in Adult Heart Transplant Candidates.

Kevin C Zhang, Nikhil Narang, Carine Jasseron, Richard Dorent, Kevin A Lazenby, Mark N Belkin, Jonathan Grinstein, Anoop Mayampurath, Matthew M Churpek, Kiran K Khush and 1 more

Erratum issuedAbstract readObservational StudyValidation Study
In one paragraph

Observational study in JAMA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Development of a risk score predicting survival after adult heart transplantation in the United States.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2025
    Observational
  5. 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
  6. Article
  7. Article
  8. Observational
  9. Review
  10. Review
  11. Error in Figure 3.JAMA · 2025
    Article
  12. Association of nonstandardized model for end-stage liver disease score exceptions with waitlist mortality in adult liver transplant candidates.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Kevin C ZhangDepartment of Medicine, University of Chicago, Chicago, Illinois.
Nikhil NarangAdvocate Heart Institute, Advocate Christ Medical Center, Oak Lawn, Illinois.
Carine JasseronAgence de la Biomédecine, Direction Prélèvement Greffe Organes-Tissus, Saint-Denis La Plaine, France.
Richard DorentAgence de la Biomédecine, Direction Prélèvement Greffe Organes-Tissus, Saint-Denis La Plaine, France.
Kevin A LazenbyPritzker School of Medicine, University of Chicago, Chicago, Illinois.
Mark N BelkinDepartment of Medicine, University of Chicago, Chicago, Illinois.
Jonathan GrinsteinDepartment of Medicine, University of Chicago, Chicago, Illinois.
Anoop MayampurathDepartment of Biostatistics and Medical Informatics, University of Wisconsin, Madison.
Matthew M ChurpekDepartment of Medicine, University of Wisconsin, Madison.
Kiran K KhushDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California.
William F ParkerDepartment of Medicine, University of Chicago, Chicago, Illinois.

Funding

Improving the efficiency and equity of critical care allocation during a crisis with place-based disadvantage indicesR01LM014263 · NLM · UNIVERSITY OF CHICAGO · PI William F Parker · 2023 to 2026
$2.0M
Mending a Broken Heart Allocation System with Machine LearningK08HL150291 · NHLBI · UNIVERSITY OF CHICAGO · PI PARKER, WILLIAM F · 2020 to 2024
$713k
NHLBI NIH HHS K08 HL150291
6 · The paper itself

Abstract

Importance: The US heart allocation system prioritizes medically urgent candidates with a high risk of dying without transplant. The current therapy-based 6-status system is susceptible to manipulation and has limited rank ordering ability. Objective: To develop and validate a candidate risk score that incorporates current clinical, laboratory, and hemodynamic data. Design, Setting, and Participants: A registry-based observational study of adult heart transplant candidates (aged ≥18 years) from the US heart allocation system listed between January 1, 2019, and December 31, 2022, split by center into training (70%) and test (30%) datasets. Adult candidates were listed between January 1, 2019, and December 31, 2022. Main Outcomes and Measures: A US candidate risk score (US-CRS) model was developed by adding a predefined set of predictors to the current French Candidate Risk Score (French-CRS) model. Sensitivity analyses were performed, which included intra-aortic balloon pumps (IABP) and percutaneous ventricular assist devices (VAD) in the definition of short-term mechanical circulatory support (MCS) for the US-CRS. Performance of the US-CRS model, French-CRS model, and 6-status model in the test dataset was evaluated by time-dependent area under the receiver operating characteristic curve (AUC) for death without transplant within 6 weeks and overall survival concordance (c-index) with integrated AUC. Results: A total of 16 905 adult heart transplant candidates were listed (mean [SD] age, 53 [13] years; 73% male; 58% White); 796 patients (4.7%) died without a transplant. The final US-CRS contained time-varying short-term MCS (ventricular assist-extracorporeal membrane oxygenation or temporary surgical VAD), the log of bilirubin, estimated glomerular filtration rate, the log of B-type natriuretic peptide, albumin, sodium, and durable left ventricular assist device. In the test dataset, the AUC for death within 6 weeks of listing for the US-CRS model was 0.79 (95% CI, 0.75-0.83), for the French-CRS model was 0.72 (95% CI, 0.67-0.76), and 6-status model was 0.68 (95% CI, 0.62-0.73). Overall c-index for the US-CRS model was 0.76 (95% CI, 0.73-0.80), for the French-CRS model was 0.69 (95% CI, 0.65-0.73), and 6-status model was 0.67 (95% CI, 0.63-0.71). Classifying IABP and percutaneous VAD as short-term MCS reduced the effect size by 54%. Conclusions and Relevance: In this registry-based study of US heart transplant candidates, a continuous multivariable allocation score outperformed the 6-status system in rank ordering heart transplant candidates by medical urgency and may be useful for the medical urgency component of heart allocation.

Indexed as

Heart FailureHeart TransplantationTissue and Organ ProcurementAdultBilirubinClinical Laboratory ServicesFemaleHealth Care RationingHeartHumansMaleMiddle AgedPredictive Value of TestsRisk AssessmentRisk FactorsUnited StatesBilirubin

Identifiers

PMID38349372
PMCPMC10865158

What Socratic holds

Textmetadata
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 Socratic graph.