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A nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: A population-based analysis

BACKGROUND: Few studies have reported the clinical characteristics and outcomes of young adult patients diagnosed with hepatocellular carcinoma (HCC). This study aimed to formulate a nomogram to predict the prognosis of young adult HCC patients. METHODS: Young adult patients diagnosed with HCC from...

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Detalles Bibliográficos
Autores principales: Kong, Junjie, Wang, Tao, Shen, Shu, Zhang, Zifei, Wang, Wentao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6623961/
https://www.ncbi.nlm.nih.gov/pubmed/31295310
http://dx.doi.org/10.1371/journal.pone.0219654
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author Kong, Junjie
Wang, Tao
Shen, Shu
Zhang, Zifei
Wang, Wentao
author_facet Kong, Junjie
Wang, Tao
Shen, Shu
Zhang, Zifei
Wang, Wentao
author_sort Kong, Junjie
collection PubMed
description BACKGROUND: Few studies have reported the clinical characteristics and outcomes of young adult patients diagnosed with hepatocellular carcinoma (HCC). This study aimed to formulate a nomogram to predict the prognosis of young adult HCC patients. METHODS: Young adult patients diagnosed with HCC from 2004 to 2015 were screened from the Surveillance, Epidemiology, and End Results (SEER) database. Based on the multivariate analysis results, a nomogram was constructed. The concordance index (c-index) and calibration were used to assess the predictive performance of the nomogram. The clinical benefit was measured by using decision curve analysis (DCA). RESULTS: The mean follow-up time of the patients was 25.0±34.0 months. Gender, race, AFP level, Edmondson–Steiner classification, treatment and TNM stage were selected as independent prognostic factors and integrated into the nomogram. The c-indexes of the two sets were 0.786 and 0.775, respectively. The calibration curves showed good agreement between the nomogram-predicted probability and the actual observations. Furthermore, the DCA indicated that the nomogram had positive net benefits compared with the conventional staging system. CONCLUSIONS: The nomogram could accurately predict the prognosis of young adult HCC patients.
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spelling pubmed-66239612019-07-25 A nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: A population-based analysis Kong, Junjie Wang, Tao Shen, Shu Zhang, Zifei Wang, Wentao PLoS One Research Article BACKGROUND: Few studies have reported the clinical characteristics and outcomes of young adult patients diagnosed with hepatocellular carcinoma (HCC). This study aimed to formulate a nomogram to predict the prognosis of young adult HCC patients. METHODS: Young adult patients diagnosed with HCC from 2004 to 2015 were screened from the Surveillance, Epidemiology, and End Results (SEER) database. Based on the multivariate analysis results, a nomogram was constructed. The concordance index (c-index) and calibration were used to assess the predictive performance of the nomogram. The clinical benefit was measured by using decision curve analysis (DCA). RESULTS: The mean follow-up time of the patients was 25.0±34.0 months. Gender, race, AFP level, Edmondson–Steiner classification, treatment and TNM stage were selected as independent prognostic factors and integrated into the nomogram. The c-indexes of the two sets were 0.786 and 0.775, respectively. The calibration curves showed good agreement between the nomogram-predicted probability and the actual observations. Furthermore, the DCA indicated that the nomogram had positive net benefits compared with the conventional staging system. CONCLUSIONS: The nomogram could accurately predict the prognosis of young adult HCC patients. Public Library of Science 2019-07-11 /pmc/articles/PMC6623961/ /pubmed/31295310 http://dx.doi.org/10.1371/journal.pone.0219654 Text en © 2019 Kong et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kong, Junjie
Wang, Tao
Shen, Shu
Zhang, Zifei
Wang, Wentao
A nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: A population-based analysis
title A nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: A population-based analysis
title_full A nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: A population-based analysis
title_fullStr A nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: A population-based analysis
title_full_unstemmed A nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: A population-based analysis
title_short A nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: A population-based analysis
title_sort nomogram predicting the prognosis of young adult patients diagnosed with hepatocellular carcinoma: a population-based analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6623961/
https://www.ncbi.nlm.nih.gov/pubmed/31295310
http://dx.doi.org/10.1371/journal.pone.0219654
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