Evidence map›Paper›PMID 41624214›Full record

ArticleJHLT open2026

Listing patterns at the highest volume heart transplant centers: Multiple roads to transplant.

Joshua A Rushakoff, Adam D DeVore, Richa Agarwal, Joseph B Lerman, Karen Flores Rosario, Jeffrey Keenan, Jacob N Schroder, Carmelo A Milano, Chetan B Patel

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JHLT open, 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

9 authors.

Joshua A RushakoffDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC.
Adam D DeVoreDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC.
Richa AgarwalDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC.
Joseph B LermanDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC.
Karen Flores RosarioDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC.
Jeffrey KeenanDivision of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC.
Jacob N SchroderDivision of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC.
Carmelo A MilanoDivision of Cardiovascular and Thoracic Surgery, Department of Surgery, Duke University Medical Center, Durham, NC.
Chetan B PatelDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current heart transplantation (HT) allocation system added additional progressive statuses to differentiate the highest risk patients and decrease waitlist mortality. We analyzed United Network for Organ Sharing thoracic organ data (10/18/2018-6/30/2025) to assess listing practices at the 10 highest volume centers (5,466 total HT). We found variation in the final waitlist status across these centers (status 1 3.6% to 16.4%; status 6 0.5%-14.5%). Further, some centers had more even distributions across final status, while others had dominant status 2 patterns. As continuous distribution allocation is considered for HT, we feel it is critical to consider the practice patterns of these highest-volume centers. Notably, HT candidates may not conform to a prescribed course through escalating statuses.

Indexed as

Allocation systemCandidate evaluationHeart transplantationHighest-volume centersOrgan listing patterns

Identifiers

PMID41624214
PMCPMC12856641

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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.