0000000000820283
AUTHOR
Jean C. Emond
An Intention-to-Treat Competing-Risk Model for Candidates with Hepatocellular Cancer Awaiting Liver Transplantation
Background: Since the introduction of the Milan Criteria (MC), all systems, which describe post-transplant prognosis of patients with hepatocellular cancer (HCC), are exclusively based on characteristics available at surgery, and neglect the intention-to-treat principles. This study, based on a large international HCC patient cohort, aimed to develop comprehensive intention-to-treat models through a competing-risk analysis. We used data available at first referral to predict the risk of delisting and HCC-related death after liver transplantation (LT). Methods: Twelve centres in the United States, Europe and Asia created a Derivation Set (n=2,318) and an external Validation Set (n=773) of …
Dynamic α-Fetoprotein Response and Outcomes After Liver Transplant for Hepatocellular Carcinoma.
IMPORTANCE: Accurate preoperative prediction of hepatocellular carcinoma (HCC) recurrence after liver transplant is the mainstay of selection tools used by transplant-governing bodies to discern candidacy for patients with HCC. Although progress has been made, few tools incorporate objective measures of tumor biological characteristics, resulting in inclusion of patients with high recurrence rates and exclusion of others who could otherwise be cured. OBJECTIVE: To externally validate the New York/California (NYCA) score, a recently published multi-institutional US HCC selection tool that was the first model incorporating a dynamic α-fetoprotein response (AFP-R) and compare the validated sco…