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Validation of a criteria-specific long-term survival prediction model for hepatocellular carcinoma patients after liver transplantation

The aim of this study was to validate a criteria-specific long-term survival prediction model (MHCAT) in a large cohort of hepatocellular carcinoma (HCC) patients after liver transplantation (LT) in China. Independent risk factors in MHCAT were retrospectively analysed for HCC patients recorded in t...

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Autores principales: Teng, Fei, Han, Qiu-Cheng, Ding, Guo-Shan, Ni, Zhi-Jia, Fu, Hong, Guo, Wen-Yuan, Shi, Xiao-Min, Gao, Xiao-Gang, Ma, Jun, Fu, Zhi-Ren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476095/
https://www.ncbi.nlm.nih.gov/pubmed/26096817
http://dx.doi.org/10.1038/srep11733
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author Teng, Fei
Han, Qiu-Cheng
Ding, Guo-Shan
Ni, Zhi-Jia
Fu, Hong
Guo, Wen-Yuan
Shi, Xiao-Min
Gao, Xiao-Gang
Ma, Jun
Fu, Zhi-Ren
author_facet Teng, Fei
Han, Qiu-Cheng
Ding, Guo-Shan
Ni, Zhi-Jia
Fu, Hong
Guo, Wen-Yuan
Shi, Xiao-Min
Gao, Xiao-Gang
Ma, Jun
Fu, Zhi-Ren
author_sort Teng, Fei
collection PubMed
description The aim of this study was to validate a criteria-specific long-term survival prediction model (MHCAT) in a large cohort of hepatocellular carcinoma (HCC) patients after liver transplantation (LT) in China. Independent risk factors in MHCAT were retrospectively analysed for HCC patients recorded in the China Liver Transplant Registry. Survival predictions for each patient were calculated using MHCAT scores and the Metroticket formula separately, and the prediction efficacy of MHCAT and Metroticket was compared using the area under ROC curve (c-statistic). A total of 1371 LTs for HCC were analysed in the study, with a median follow-up of 22.2 months (IQR 6.1–72.4 months). The proportions meeting the Milan, UCSF, Fudan and Hangzhou criteria were 34.4%, 39.7%, 44.2% and 51.9%, respectively. The c-statistics for MHCAT predictions of 3- and 5-year survival rates of HCC recipients were 0.712–0.727 and 0.726–0.741, respectively. Among these patients, 1298 LTs for HCC were ultimately selected for the comparison analysis for prediction efficacy. The c-statistic of MHCAT for predictions of 3-year survival with reference to the Milan, UCSF and Fudan criteria was significantly increased compared with that for Metroticket (p < 0.05). In conclusion, MHCAT can effectively predict long-term survival for HCC recipients after LT.
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spelling pubmed-44760952015-06-24 Validation of a criteria-specific long-term survival prediction model for hepatocellular carcinoma patients after liver transplantation Teng, Fei Han, Qiu-Cheng Ding, Guo-Shan Ni, Zhi-Jia Fu, Hong Guo, Wen-Yuan Shi, Xiao-Min Gao, Xiao-Gang Ma, Jun Fu, Zhi-Ren Sci Rep Article The aim of this study was to validate a criteria-specific long-term survival prediction model (MHCAT) in a large cohort of hepatocellular carcinoma (HCC) patients after liver transplantation (LT) in China. Independent risk factors in MHCAT were retrospectively analysed for HCC patients recorded in the China Liver Transplant Registry. Survival predictions for each patient were calculated using MHCAT scores and the Metroticket formula separately, and the prediction efficacy of MHCAT and Metroticket was compared using the area under ROC curve (c-statistic). A total of 1371 LTs for HCC were analysed in the study, with a median follow-up of 22.2 months (IQR 6.1–72.4 months). The proportions meeting the Milan, UCSF, Fudan and Hangzhou criteria were 34.4%, 39.7%, 44.2% and 51.9%, respectively. The c-statistics for MHCAT predictions of 3- and 5-year survival rates of HCC recipients were 0.712–0.727 and 0.726–0.741, respectively. Among these patients, 1298 LTs for HCC were ultimately selected for the comparison analysis for prediction efficacy. The c-statistic of MHCAT for predictions of 3-year survival with reference to the Milan, UCSF and Fudan criteria was significantly increased compared with that for Metroticket (p < 0.05). In conclusion, MHCAT can effectively predict long-term survival for HCC recipients after LT. Nature Publishing Group 2015-06-22 /pmc/articles/PMC4476095/ /pubmed/26096817 http://dx.doi.org/10.1038/srep11733 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Teng, Fei
Han, Qiu-Cheng
Ding, Guo-Shan
Ni, Zhi-Jia
Fu, Hong
Guo, Wen-Yuan
Shi, Xiao-Min
Gao, Xiao-Gang
Ma, Jun
Fu, Zhi-Ren
Validation of a criteria-specific long-term survival prediction model for hepatocellular carcinoma patients after liver transplantation
title Validation of a criteria-specific long-term survival prediction model for hepatocellular carcinoma patients after liver transplantation
title_full Validation of a criteria-specific long-term survival prediction model for hepatocellular carcinoma patients after liver transplantation
title_fullStr Validation of a criteria-specific long-term survival prediction model for hepatocellular carcinoma patients after liver transplantation
title_full_unstemmed Validation of a criteria-specific long-term survival prediction model for hepatocellular carcinoma patients after liver transplantation
title_short Validation of a criteria-specific long-term survival prediction model for hepatocellular carcinoma patients after liver transplantation
title_sort validation of a criteria-specific long-term survival prediction model for hepatocellular carcinoma patients after liver transplantation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476095/
https://www.ncbi.nlm.nih.gov/pubmed/26096817
http://dx.doi.org/10.1038/srep11733
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