Evidence map›Paper›PMID 41092411›Full record

ArticleBJS open2025

Novel scoring system to predict futile liver transplantation by multiterm outcomes to optimize recipient selection: retrospective cohort study.

Xi Wang, Xiubi Yin, Shaohua Song, Di Jiang, Yuancheng Li, Zeliang Xu, Xingchao Liu, Zhu Li, Xiaofang Zhang, Chengcheng Zhang

Abstract readMulticenter Study
In one paragraph

Article in BJS open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xi WangDepartment of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Xiubi YinDepartment of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Shaohua SongDepartment of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Di JiangDepartment of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Yuancheng LiDepartment of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Zeliang XuDepartment of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Xingchao LiuDepartment of Hepatobiliary Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China.
Zhu LiDepartment of Organ Transplantation Surgery, Liaocheng People's Hospital/Affiliated Liaocheng Hospital, Shandong First Medical University, Liaocheng, China.
Xiaofang ZhangDepartment of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Chengcheng ZhangDepartment of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.

Funding

Chongqing Science and Technology Bureau CSTB2022TIAD-GPX0087
6 · The paper itself

Abstract

backgroundImprovements in medical standards have allowed critically ill patients to benefit from liver transplantation, but defining futility arbitrarily according to one single-stage outcome could deprive patients of the potential benefits of transplantation. This study aimed to redefine futile liver transplantation by multiterm outcomes and develop a novel scoring system to predict futile liver transplantation.

methodsThis retrospective study in China enrolled patients who had liver transplantation from 3 centres between January 2015 and April 2021. Independent risk factors were identified by logistic regression analysis and used to establish risk prediction models. Kaplan-Meier survival curves were calculated to explore the association between futile score and overall survival.

resultsOf 1408 patients undergoing liver transplantation, patients at persistent high risk for mortality in the short term (3 months), mid term (1 year), and long term (3 years) were defined as the truly futile liver transplantation group. Higher donor and recipient age, hepatorenal syndrome, intensive care unit stay, need for mechanical ventilator, ABO blood group incompatibility, prolonged cold ischaemia time, increased alanine aminotransferase levels, and decreased albumin levels were independent risk factors for futility, and were used to construct a futile scoring system. The scoring system had good predictive capability, with an area under the receiver operating characteristic curve of 0.921, better than that of a previously established scoring system. Survival analysis showed that the group with a high futile risk had decreased survival.

conclusionThis study has redefined futile liver transplantation and established a novel futile scoring system. This can be used to optimize the allocation of medical resources, especially with regard to recipient selection for liver transplantation, and increase survival prediction for selected patients.

Indexed as

Liver TransplantationMedical FutilityPatient SelectionAdultChinaFemaleHumansKaplan-Meier EstimateMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk Factorsfutile scoring systemindividualized prediction

Identifiers

PMID41092411
PMCPMC12527355

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