학술논문
AFP score and metroticket 2.0 perform similarly and could be used in a 'within-ALL' clinical decision tool
Document Type
article
Author
Federico Piñero; Charlotte Costentin; Helena Degroote; Andrea Notarpaolo; Ilka FSF. Boin; Karim Boudjema; Cinzia Baccaro; Aline Chagas; Philippe Bachellier; Giuseppe Maria Ettorre; Jaime Poniachik; Fabrice Muscari; Fabrizio Dibenedetto; Sergio Hoyos Duque; Ephrem Salame; Umberto Cillo; Sebastián Marciano; Claire Vanlemmens; Stefano Fagiuoli; Flair Carrilho; Daniel Cherqui; Patrizia Burra; Hans Van Vlierberghe; Quirino Lai; Marcelo Silva; Fernando Rubinstein; Christophe Duvoux; Filomena Conti; Olivier Scatton; Pierre Henri Bernard; Claire Francoz; Francois Durand; Sébastien Dharancy; Marie-lorraine Woehl; Alexis Laurent; Sylvie Radenne; Jérôme Dumortier; Armand Abergel; Louise Barbier; Pauline Houssel-Debry; Georges Philippe Pageaux; Laurence Chiche; Victor Deledinghen; Jean Hardwigsen; J. Gugenheim; M. altieri; Marie Noelle Hilleret; Thomas Decaens; Paulo Costa; Elaine Cristina de Ataide; Emilio Quiñones; Margarita Anders; Adriana Varón; Alina Zerega; Alejandro Soza; Martín Padilla Machaca; Diego Arufe; Josemaría Menéndez; Rodrigo Zapata; Mario Vilatoba; Linda Muñoz; Ricardo Chong Menéndez; Martín Maraschio; Luis G. Podestá; Lucas McCormack; Juan Mattera; Adrian Gadano; Jose Huygens Parente García; Giulia Magini; Lucia Miglioresi; Martina Gambato; Cecilia D’Ambrosio; Alessandro Vitale; Michele Colledan; Domenico Pinelli; Paolo Magistri; Giovanni Vennarecci; Marco Colasanti; Valerio Giannelli; Adriano Pellicelli; Callebout Eduard; Iesari Samuele; Dekervel Jeroen; Schreiber Jonas; Pirenne Jacques; Verslype Chris; Ysebaert Dirk; Michielsen Peter; Lucidi Valerio; Moreno Christophe; Detry Olivier; Delwaide Jean; Troisi Roberto; Lerut Jan Paul
Source
JHEP Reports, Vol 5, Iss 2, Pp 100644- (2023)
Subject
Language
English
ISSN
2589-5559
Abstract
Background & Aims: Two recently developed composite models, the alpha-fetoprotein (AFP) score and Metroticket 2.0, could be used to select patients with hepatocellular carcinoma (HCC) who are candidates for liver transplantation (LT). The aim of this study was to compare the predictive performance of both models and to evaluate the net risk reclassification of post-LT recurrence between them using each model’s original thresholds. Methods: This multicenter cohort study included 2,444 adult patients who underwent LT for HCC in 47 centers from Europe and Latin America. A competing risk regression analysis estimating sub-distribution hazard ratios (SHRs) and 95% CIs for recurrence was used (Fine and Gray method). Harrell’s adapted c-statistics were estimated. The net reclassification index for recurrence was compared based on each model’s original thresholds. Results: During a median follow-up of 3.8 years, there were 310 recurrences and 496 competing events (20.3%). Both models predicted recurrence, HCC survival and survival better than Milan criteria (p