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The concept of therapeutic hierarchy for patients with hepatocellular carcinoma: A multicenter cohort study

Title: The concept of therapeutic hierarchy for patients with hepatocellular carcinoma: A multicenter cohort study
Authors: Vitale A.; Farinati F.; Pawlik T. M.; Frigo A. C.; Giannini E. G.; Napoli L.; Ciccarese F.; Rapaccini G. L.; Di Marco M.; Caturelli E.; Zoli M.; Borzio F.; Sacco R.; Cabibbo G.; Virdone R.; Marra F.; Felder M.; Morisco F.; Benvegnu L.; Gasbarrini A.; Svegliati-Baroni G.; Foschi F. G.; Missale G.; Masotto A.; Nardone G.; Colecchia A.; Bernardi M.; Trevisani F.; Cillo U.
Contributors: Vitale, A.; Farinati, F.; Pawlik, T. M.; Frigo, A. C.; Giannini, E. G.; Napoli, L.; Ciccarese, F.; Rapaccini, G. L.; Di Marco, M.; Caturelli, E.; Zoli, M.; Borzio, F.; Sacco, R.; Cabibbo, G.; Virdone, R.; Marra, F.; Felder, M.; Morisco, F.; Benvegnu, L.; Gasbarrini, A.; Svegliati-Baroni, G.; Foschi, F. G.; Missale, G.; Masotto, A.; Nardone, G.; Colecchia, A.; Bernardi, M.; Trevisani, F.; Cillo, U.
Publisher Information: Blackwell Publishing Ltd
Publication Year: 2019
Collection: Padua Research Archive (IRIS - Università degli Studi di Padova)
Subject Terms: hepatocellular carcinoma; prognostic variable; survival benefit; treatment selection
Description: Background: The Italian Liver Cancer (ITA.LI.CA) prognostic system for patients with hepatocellular carcinoma (HCC) has recently been proposed and validated. We sought to explore the relationship among the ITA.LI.CA prognostic variables (ie tumour stage, functional score based on performance status and Child-Pugh score, and alpha-fetoprotein), treatment selection and survival outcome in HCC patients. Patients and Methods: We analysed 4,867 consecutive HCC patients undergoing six main treatment strategies (liver transplantation, LT; liver resection, LR; ablation, ABL; intra-arterial therapy, IAT; Sorafenib, SOR; and best supportive care, BSC) and enrolled during 2002-2015 in a multicenter Italian database. In order to control pretreatment imbalances in observed variables, a machine learning methodology was used and inverse probability of treatment weights (IPTW) was calculated. An IPTW-adjusted multivariate survival model that included ITA.LI.CA prognostic variables, treatment period and treatment strategy was then developed. The survival benefit of HCC treatments was described as a hazard ratio (95% confidence interval), using BSC as a reference value and as predicted median survival. Results: After the IPTW, the six treatment groups became well balanced for most baseline characteristics. In the IPTW-adjusted multivariate survival model, treatment strategy was found to be the strongest survival predictor, irrespective of ITA.LI.CA prognostic variables and treatment period. The survival benefit of different therapies over BSC was: LT = 0.19 (0.18-0.20); RES = 0.40 (0.37-0.42); ABL 0.42 (0.40-0.44); IAT = 0.58 (0.55-0.61); SOR = 0.92 (0.87-0.97). This multivariate model was then used to predict median survival for each therapy within each ITA.LI.CA stage. Conclusion: The concept of therapeutic hierarchy was established within each ITA.LI.CA stage. © 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd
Document Type: article in journal/newspaper
File Description: STAMPA
Language: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/31131974; info:eu-repo/semantics/altIdentifier/wos/WOS:000436895400328; volume:39; issue:8; firstpage:1478; lastpage:1489; numberofpages:12; journal:LIVER INTERNATIONAL; https://hdl.handle.net/11577/3304715
DOI: 10.1111/liv.14154
DOI: 10.1111/(ISSN)1478-3231
Availability: https://hdl.handle.net/11577/3304715; https://doi.org/10.1111/liv.14154; http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1478-3231
Accession Number: edsbas.66DB8F0D
Database: BASE