Frailty and liver transplant eligibility beyond MELD scores: integrating functional status into candidate selection

Frailty, assessed by the Clinical Frailty Scale, outperformed MELD-Na in predicting transplant eligibility and proved relevant even in low-MELD populations. These findings highlight frailty as a practical determinant of eligibility and a step toward standardized, evidence-based equitable selection frameworks.

Authors

Institutions

Publication Details

Journal
BMC Gastroenterology
Published
2025-10-21
DOI
https://doi.org/10.1186/s12876-025-04333-9
Primary Topic
Liver Disease and Transplantation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Frailty and liver transplant eligibility beyond MELD scores: integrating functional status into candidate selection

Sameh Afify, Warda Othman, Amr Ragab, Maha Elsabaawy
BMC Gastroenterology
Liver Disease and Transplantation
article

Frailty and liver transplant eligibility beyond MELD scores: integrating functional status into candidate selection

Sameh Afify, Warda Othman, Amr Ragab, Maha Elsabaawy
article en

Abstract

Frailty, assessed by the Clinical Frailty Scale, outperformed MELD-Na in predicting transplant eligibility and proved relevant even in low-MELD populations. These findings highlight frailty as a practical determinant of eligibility and a step toward standardized, evidence-based equitable selection frameworks.

BMC GastroenterologyVol. 25(1)
Menoufia University (EG)
Openalex Percentile: Top 60%
Liver Disease and Transplantation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.