Evidence map›Paper›PMID 40131274›Full record

ArticleJAMA network open2025

US Population Size and Outcomes of Adults on Liver Transplant Waiting Lists.

Tomohiro Tanaka, George Wehby, Mark Vander Weg, Keith Mueller, David Axelrod

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. [Clinical outcomes of small-size grafts in auxiliary liver transplantation for the treatment of portal hypertension].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Article
  4. Article
  5. Review
  6. Liver Transplantation in the Context of Acute-On-Chronic Liver Failure (ACLF): Where Do We Stand in 2025?Transplant international : official journal of the European Society for Organ Transplantation · 2025
    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

5 authors.

Tomohiro TanakaDivision of Gastroenterology and Hepatology, University of Iowa Carver College of Medicine, Iowa City.
George WehbyDepartment of Health Management and Policy, College of Public Health, University of Iowa, Iowa City.
Mark Vander WegCenter for Access & Delivery Research and Evaluation, Iowa City Veterans Affairs Health Care System, Iowa City, Iowa.
Keith MuellerDepartment of Health Management and Policy, College of Public Health, University of Iowa, Iowa City.
David AxelrodDepartment of Surgery, University of Iowa Carver College of Medicine, Iowa City.

Funding

AHRQ HHS K08 HS029195
6 · The paper itself

Abstract

Importance: Disparities in organ supply and demand led to geographic inequities in the score-based liver transplant (LT) allocation system, prompting a change to allocation based on acuity circles (AC) defined by fixed distances. However, fixed distances do not ensure equivalent population size, potentially creating new sources of disparity. Objective: To estimate the association between population size around LT centers and waiting list outcomes for critically ill patients with chronic end-stage liver disease and high Model for End-stage Liver Disease (MELD) scores or acute liver failure (ALF). Design, Setting, and Participants: This US nationwide retrospective cohort study included adult (aged ≥18 years) candidates for deceased donor LT wait-listed between June 18, 2013, and May 31, 2023. Follow-up was completed June 30, 2023. Participants were divided into pre-AC and post-AC groups. Exposure: Population size within defined radii around each LT center (150 nautical miles [nm] for participants with high MELD scores and 500 nm for those with ALF) based on AC allocation policy. Main Outcomes and Measures: LT candidate waiting list mortality and dropout rate were analyzed using generalized linear mixed-effect models with random intercepts for center and listing date before and after AC implementation. Fine-Gray competing risk regression, accounting for clustering, was used as a secondary model. Results: The study analyzed 6142 LT candidates (1581 with ALF and 4561 with high MELD scores) during the pre-AC era and 4344 candidates (749 with ALF and 3595 with high- MELD scores) in the post-AC era, for a total of 10 486 participants (6331 male [60.5%]; mean [SD] age, 48.5 [7.1] years). In the high-MELD cohort, being listed at a center in the lowest tertile of population size was associated with increased waiting list mortality in the AC era (adjusted odds ratio [AOR], 1.68; 95% CI, 1.14-2.46). Doubling of the population size was associated with a 34% reduction in the odds of mortality or dropout (AOR, 0.66; 95% CI, 0.49-0.90). These results were consistent with those of the extended Fine-Gray models and were also corroborated by multiple sensitivity analyses. However, there were no significant population density-associated disparities in the ALF cohort. Conclusions and Relevance: In this retrospective nationwide cohort study, being wait-listed in less populated regions was associated with greater mortality among critically ill LT candidates with high MELD scores, underscoring the limitations of allocation systems based purely on fixed distances.

Indexed as

End Stage Liver DiseaseLiver TransplantationPopulation DensityWaiting ListsAdultFemaleHumansMaleMiddle AgedRetrospective StudiesUnited States

Identifiers

PMID40131274
PMCPMC11937946

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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.