Evidence map›Paper›PMID 39341343›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2025

Association of nonstandardized model for end-stage liver disease score exceptions with waitlist mortality in adult liver transplant candidates.

Daniel J Ahn, Allison J Kwong, Anji E Wall, William F Parker

Abstract read
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2025. 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. Review
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

4 authors.

Daniel J AhnDepartment of Surgery, Stanford University School of Medicine, Stanford, CA.
Allison J KwongDepartment of Medicine, Stanford University School of Medicine, Stanford, CA.
Anji E WallDepartment of Transplant Surgery, Annette C. and Harrold C. Simmons Transplant Institute, Baylor University Medical Center, Dallas, Texas.
William F ParkerDepartment of Medicine, University of Chicago, Chicago, IL; Department of Public Health Sciences, University of Chicago, Chicago, IL; Maclean Center for Clinical Medical Ethics, University of Chicago, Chicago, IL. Electronic address: wparker@uchicago.edu.

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
Defining Phenotypes of Alcohol-Associated Liver Disease with Acute Hepatic DecompensationK23AA029197 · NIAAA · STANFORD UNIVERSITY · PI KWONG, ALLISON · 2021 to 2025
$1.0M
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 HL150291NIAAA NIH HHS K23 AA029197NLM NIH HHS R01 LM014263
6 · The paper itself

Abstract

In the US liver allocation system, nonstandardized model for end-stage liver disease (MELD) exceptions (NSEs) increase the waitlist priority of candidates whose MELD scores are felt to underestimate their true medical urgency. We determined whether NSEs accurately depict pretransplant mortality risk by performing mixed-effects Cox proportional hazards models and estimating concordance indices. We also studied the change in frequency of NSEs after the National Liver Review Board's implementation in May 2019. Between June 2016 and April 2022, 60,322 adult candidates were listed, of whom 10,280 (17.0%) received an NSE at least once. The mean allocation MELD was 23.9, an increase of 12.0 points from the mean laboratory MELD of 11.9 (P < .001). A 1-point increase in allocation MELD score due to an NSE was associated with, on average, a 2% reduction in hazard of pretransplant death (cause-specific hazard ratio: 0.98; 95% CI: 0.96, 1.00; P = .02) compared with those with the same laboratory MELD. Laboratory MELD was more accurate than allocation MELD with NSEs in rank-ordering candidates (c-index: 0.889 vs 0.857). The proportion of candidates with NSEs decreased significantly after the National Liver Review Board from 21.5% to 12.8% (P < .001). NSEs substantially increase the waitlist priority of candidates with objectively low medical urgency.

Indexed as

End Stage Liver DiseaseLiver TransplantationPatient SelectionSeverity of Illness IndexTissue and Organ ProcurementWaiting ListsAdultFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsSurvival Rateliver allocationNational Liver Review Boardnonstandardized MELD exceptionsScientific Registry of Transplant Recipientswaitlist mortality

Identifiers

PMID39341343
PMCPMC11772122

What Socratic 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 Socratic graph.