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Proposal and Validation of a Novel Scoring System for Hepatocellular Carcinomas Beyond Curability Borders

Optimal scoring system for clinical prognostic factors in patients with unresectable hepatocellular carcinoma (HCC) is currently uncertain. We aimed to develop and externally validate an easy to use tool, particularly for this population, and named it the “unresectable hepatocellular carcinoma progn...

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Autores principales: Demirtas, Coskun Ozer, Ricco, Gabrielle, Ozdogan, Osman Cavit, Baltacioglu, Feyyaz, Ones, Tunc, Yumuk, Perran Fulden, Dulundu, Ender, Uzun, Sinan, Colombatto, Pierro, Oliveri, Filippo, Brunetto, Maurizia Rosanna, Gunduz, Feyza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870011/
https://www.ncbi.nlm.nih.gov/pubmed/34751001
http://dx.doi.org/10.1002/hep4.1836
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author Demirtas, Coskun Ozer
Ricco, Gabrielle
Ozdogan, Osman Cavit
Baltacioglu, Feyyaz
Ones, Tunc
Yumuk, Perran Fulden
Dulundu, Ender
Uzun, Sinan
Colombatto, Pierro
Oliveri, Filippo
Brunetto, Maurizia Rosanna
Gunduz, Feyza
author_facet Demirtas, Coskun Ozer
Ricco, Gabrielle
Ozdogan, Osman Cavit
Baltacioglu, Feyyaz
Ones, Tunc
Yumuk, Perran Fulden
Dulundu, Ender
Uzun, Sinan
Colombatto, Pierro
Oliveri, Filippo
Brunetto, Maurizia Rosanna
Gunduz, Feyza
author_sort Demirtas, Coskun Ozer
collection PubMed
description Optimal scoring system for clinical prognostic factors in patients with unresectable hepatocellular carcinoma (HCC) is currently uncertain. We aimed to develop and externally validate an easy to use tool, particularly for this population, and named it the “unresectable hepatocellular carcinoma prognostic index” (UHPI). We evaluated the data of patients with treatment‐naive unresectable HCC who were diagnosed in the training center from 2010 to 2019 (n = 209). A simple prognostic model was developed by assigning points for each covariate in proportion to the beta coefficients in the Cox multivariable model. Predictive performance and distinction ability of the UHPI were further evaluated in an independent European validation cohort (n = 147) and compared with 11 other available models. A simple scoring system was derived, assigning 0.5/1/2 scores for six independent covariates including, the Child‐Pugh score, Eastern Cooperative Oncology Group performance status, maximum tumor size, vascular invasion or extrahepatic metastasis, lymph node involvement, and alpha‐fetoprotein. The UHPI score, ranging from 0 to 6, showed superior performance in prognosis prediction and outperformed 11 other staging or prognostic models, giving the highest homogeneity (c‐index, 6‐month and 1‐year area under the receiver operator characteristic curves), lowest Akaike information criterion, and –2 log‐likelihood ratio values. The UHPI score allocated well the risk of patients with unresectable HCC for mortality within the first year, using two cut‐off values (low‐risk, <0.5; intermediate‐risk, 0.5‐2; high‐risk, >2). Conclusion: The UHPI score can predict prognosis better than other systems in subjects with unresectable HCC and can be used in clinical practice or trials to estimate the 6‐month and 1‐year survival probabilities for this group.
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spelling pubmed-88700112022-02-28 Proposal and Validation of a Novel Scoring System for Hepatocellular Carcinomas Beyond Curability Borders Demirtas, Coskun Ozer Ricco, Gabrielle Ozdogan, Osman Cavit Baltacioglu, Feyyaz Ones, Tunc Yumuk, Perran Fulden Dulundu, Ender Uzun, Sinan Colombatto, Pierro Oliveri, Filippo Brunetto, Maurizia Rosanna Gunduz, Feyza Hepatol Commun Original Articles Optimal scoring system for clinical prognostic factors in patients with unresectable hepatocellular carcinoma (HCC) is currently uncertain. We aimed to develop and externally validate an easy to use tool, particularly for this population, and named it the “unresectable hepatocellular carcinoma prognostic index” (UHPI). We evaluated the data of patients with treatment‐naive unresectable HCC who were diagnosed in the training center from 2010 to 2019 (n = 209). A simple prognostic model was developed by assigning points for each covariate in proportion to the beta coefficients in the Cox multivariable model. Predictive performance and distinction ability of the UHPI were further evaluated in an independent European validation cohort (n = 147) and compared with 11 other available models. A simple scoring system was derived, assigning 0.5/1/2 scores for six independent covariates including, the Child‐Pugh score, Eastern Cooperative Oncology Group performance status, maximum tumor size, vascular invasion or extrahepatic metastasis, lymph node involvement, and alpha‐fetoprotein. The UHPI score, ranging from 0 to 6, showed superior performance in prognosis prediction and outperformed 11 other staging or prognostic models, giving the highest homogeneity (c‐index, 6‐month and 1‐year area under the receiver operator characteristic curves), lowest Akaike information criterion, and –2 log‐likelihood ratio values. The UHPI score allocated well the risk of patients with unresectable HCC for mortality within the first year, using two cut‐off values (low‐risk, <0.5; intermediate‐risk, 0.5‐2; high‐risk, >2). Conclusion: The UHPI score can predict prognosis better than other systems in subjects with unresectable HCC and can be used in clinical practice or trials to estimate the 6‐month and 1‐year survival probabilities for this group. John Wiley and Sons Inc. 2021-11-09 /pmc/articles/PMC8870011/ /pubmed/34751001 http://dx.doi.org/10.1002/hep4.1836 Text en © 2021 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Demirtas, Coskun Ozer
Ricco, Gabrielle
Ozdogan, Osman Cavit
Baltacioglu, Feyyaz
Ones, Tunc
Yumuk, Perran Fulden
Dulundu, Ender
Uzun, Sinan
Colombatto, Pierro
Oliveri, Filippo
Brunetto, Maurizia Rosanna
Gunduz, Feyza
Proposal and Validation of a Novel Scoring System for Hepatocellular Carcinomas Beyond Curability Borders
title Proposal and Validation of a Novel Scoring System for Hepatocellular Carcinomas Beyond Curability Borders
title_full Proposal and Validation of a Novel Scoring System for Hepatocellular Carcinomas Beyond Curability Borders
title_fullStr Proposal and Validation of a Novel Scoring System for Hepatocellular Carcinomas Beyond Curability Borders
title_full_unstemmed Proposal and Validation of a Novel Scoring System for Hepatocellular Carcinomas Beyond Curability Borders
title_short Proposal and Validation of a Novel Scoring System for Hepatocellular Carcinomas Beyond Curability Borders
title_sort proposal and validation of a novel scoring system for hepatocellular carcinomas beyond curability borders
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870011/
https://www.ncbi.nlm.nih.gov/pubmed/34751001
http://dx.doi.org/10.1002/hep4.1836
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