Evidence map›Paper›PMID 40144013›Full record

ArticleJHLT open2023

Are exceptions justified in the current heart allocation system?

Maarten Coemans, Amrusha Musunuru, Les James, Deane Smith, Nader Moazami, Dorry Segev, Sommer Gentry

Abstract read
In one paragraph

Article in JHLT open, 2023. 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
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Maarten CoemansDepartment of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
Amrusha MusunuruDepartment of Surgery, NYU Grossman School of Medicine, New York, New York.
Les JamesDepartment of Cardiothoracic Surgery, NYU Grossman School of Medicine, New York, New York.
Deane SmithDepartment of Cardiothoracic Surgery, NYU Grossman School of Medicine, New York, New York.
Nader MoazamiDepartment of Cardiothoracic Surgery, NYU Grossman School of Medicine, New York, New York.
Dorry SegevDepartment of Surgery, NYU Grossman School of Medicine, New York, New York.
Sommer GentryDepartment of Surgery, NYU Grossman School of Medicine, New York, New York.

Funding

Patient Oriented Research in Solid Organ TransplantationK24AI144954 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEGEV, DORRY L. · 2020 to 2024
$956k
NIAID NIH HHS K24 AI144954
6 · The paper itself

Abstract

Background: In the current 6-tiered heart allocation system, waitlisted candidates frequently receive an exception to any of the top 4 allocation statuses. Studies have shown varying results regarding the mortality risk of exceptions compared to standard criteria listings in the top 2 statuses. It remains unclear whether exception statuses in the current allocation system are justified. Methods: We performed a retrospective cohort study on all adults waitlisted for heart transplant between November 1, 2018, and December 31, 2022, contained in the United Network for Organ Sharing database. The waitlist mortality and transplantation rate of all exception status and standard criteria listings were compared and ranked, using status 6 as the reference status, in univariable and multivariable Cox models including status as a time-dependent variable. Results: A total of 17,116 heart waitlist candidates were included in the study. The waitlist mortality rates of exceptions in status 1 and 2 were lower than, but close to, the mortality rates of their standard criteria counterparts: status 1 standard (hazard ratio) HR 43.47 ( Conclusions: Based on waitlist mortality over a longer study period than previous analyses, high-priority exceptions are appropriately placed in the current heart allocation system. The current allocation system requires a large fraction of candidates to seek exceptions, suggesting that we should focus on objective data to risk stratify all heart waitlist candidates, and thereby reduce the need for exceptions.

Indexed as

exceptionsheart allocationheart transplantwaitlist mortality

Identifiers

PMID40144013
PMCPMC11935313

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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.