Evidence map›Paper›PMID 40900984›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2025

The Impact of Waitlisting After a Weekend on Transplant-Related Outcomes for Patients With Acute Liver Failure in the US.

Melis G Celdir, Qianyi Shi, Tomohiro Tanaka

Abstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Melis G CeldirDivision of Gastroenterology Washington University School of Medicine St. Louis Missouri USA.
Qianyi ShiDepartment of Internal Medicine University of Iowa Carver College of Medicine Iowa City Iowa USA.
Tomohiro TanakaDivision of Gastroenterology and Hepatology University of Iowa Carver College of Medicine Iowa City Iowa USA.ORCID https://orcid.org/0000-0001-6139-8444

Funding

AHRQ HHS K08 HS029195
6 · The paper itself

Abstract

Introduction: Potential delays in patient care during weekends have not been studied in liver transplantation (LT) for acute liver failure (ALF). We evaluated the impact of listing after a weekend on waitlist (WL) and post-LT outcomes in ALF patients. Methods: In a retrospective cohort study of adult ALF patients from February 2002 to May 2023 in the United Network for Organ Sharing (UNOS) database, the primary exposure was listing after a weekend. Multinomial regression and Cox models assessed WL outcomes and post-LT mortality, respectively, adjusting for potential confounders. Inverse probability censoring weighting addressed censoring bias. Results: Among 6600 adults listed for LT, 840 (13%) were listed after a weekend. The median number of days from admission to waitlisting was 2 (IQR1-3). Accounting for potential confounders, patients listed after a weekend had a lower likelihood of spontaneous survival (SS; relative risk ratio 0.74, 95% CI 0.61-0.90, LT as reference). Post-LT mortality at 1 year was higher in patients listed after a weekend (HR 1.25, 95% CI: 1.01-1.54). IPW cohort outcomes corroborated these findings. Conclusions: Among adults with acute liver failure, listing for liver transplantation after a weekend was associated with lower rates of spontaneous survival and higher one-year post-transplant mortality. Identifying system-level factors contributing to delays in transplant evaluation over weekends may help improve the timeliness and efficiency of care.

Indexed as

acute liver failureUnited Network for Organ Sharingwaitlist management

Identifiers

PMID40900984
PMCPMC12400070

What OpenQuestion holds

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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.