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Publication Name World Journal of Hepatology
Manuscript ID 117646
DOI 10.4254/wjh.117646
Country Italy
Category Gastroenterology & Hepatology
Manuscript Type Opinion Review
Article Title Outcome after liver transplantation: Predicting the unpredictable
Manuscript Source Invited Manuscript
All Author List Ylenia Capraro, Leonard Lamfu, Martina Milana, Ilaria Lenci and Leonardo Baiocchi
Funding Agency and Grant Number
Corresponding Author Leonardo Baiocchi, MD, PhD, Professor, Senior Scientist, Department of Hepatology, Policlinico Tor Vergata, Tor Vergata University of Rome, No. 81 Viale Oxford, Rome 00133, Italy. baiocchi@uniroma2.it
Key Words Liver transplant outcomes; Prognostic scoring systems; Frailty; Charlson Comorbidity Index; Liver transplantation
Core Tip Over the past two decades, liver transplantation has undergone remarkable evolution. Advances in surgical technique and perioperative care have expanded eligibility to increasingly complex recipients—older patients and those with extrahepatic comorbidity. In this context, traditional models of risk assessment, centered almost exclusively on the severity of liver disease, are no longer sufficient. There is a growing need for prognostic tools that also capture the burden of systemic disease and its impact on postoperative outcomes.
Citation Capraro Y, Lamfu L, Milana M, Lenci I, Baiocchi L. Outcome after liver transplantation: Predicting the unpredictable. World J Hepatol 2026; In press
PDF 117646-in-press.pdf
Received
2025-12-15 01:49
Peer-Review Started
2025-12-15 01:49
First Decision by Editorial Office Director
2026-02-03 09:50
Return for Revision
2026-02-03 09:50
Revised
2026-02-25 13:03
Publication Fee Transferred
Second Decision by Editor
2026-06-03 02:36
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-06-04 02:28
Articles in Press
2026-06-04 02:28
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 1948-5182 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright ©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
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