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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6623961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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