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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Hepatol. Jul 27, 2026; 18(7): 117646
Published online Jul 27, 2026. doi: 10.4254/wjh.117646
Outcome after liver transplantation: Predicting the unpredictable
Ylenia Capraro, Leonard Lamfu, Martina Milana, Ilaria Lenci, Leonardo Baiocchi
Ylenia Capraro, Leonard Lamfu, Martina Milana, Ilaria Lenci, Leonardo Baiocchi, Department of Hepatology, Policlinico Tor Vergata, Tor Vergata University of Rome, Rome 00133, Italy
Leonard Lamfu, Leonardo Baiocchi, Postgraduate School in Gastroenterology, Faculty of Medicine, University “Our Lady of Good Counsel”, Tirana 1005, Albania
Author contributions: Capraro Y contributed to acquisition of data, drafting of manuscript, critical revision; Lamfu L, Milana M, and Lenci I contributed to acquisition of data, critical revision; Baiocchi L contributed to proposal of Editorial, correction of manuscript, critical revision.
Conflict-of-interest statement: All authors declare that they have no conflict of interest to disclose.
Corresponding author: Leonardo Baiocchi, MD, PhD, Professor, Department of Hepatology, Policlinico Tor Vergata, Tor Vergata University of Rome, Via Cracovia n50, Rome 00133, Italy. baiocchi@uniroma2.it
Received: December 15, 2025
Revised: February 25, 2026
Accepted: June 4, 2026
Published online: July 27, 2026
Processing time: 223 Days and 23.6 Hours
Core Tip

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.

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