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Construction and validation of a prediction model of extrahepatic metastasis for hepatocellular carcinoma based on common clinically available data
OBJECTIVE: This study aimed to investigate the clinical characteristics and risk factors of patients with hepatocellular carcinoma (HCC) with extrahepatic metastases (EHM) and to establish an effective predictive nomogram. METHODS: Clinical and pathological data from 607 patients with hepatocellular...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709221/ https://www.ncbi.nlm.nih.gov/pubmed/36465396 http://dx.doi.org/10.3389/fonc.2022.961194 |
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author | Zhou, Liuxin Ren, Li Yu, Wenhao Qi, Mengjian Yuan, Jiaqi Wang, Wen Su, Xiaoxia Yin, Fengjiao Deng, Manjun Wang, Haijiu Long, Hongmu Zeng, Jiangchao Yu, Jiajian Fan, Haining Wang, Zhixin |
author_facet | Zhou, Liuxin Ren, Li Yu, Wenhao Qi, Mengjian Yuan, Jiaqi Wang, Wen Su, Xiaoxia Yin, Fengjiao Deng, Manjun Wang, Haijiu Long, Hongmu Zeng, Jiangchao Yu, Jiajian Fan, Haining Wang, Zhixin |
author_sort | Zhou, Liuxin |
collection | PubMed |
description | OBJECTIVE: This study aimed to investigate the clinical characteristics and risk factors of patients with hepatocellular carcinoma (HCC) with extrahepatic metastases (EHM) and to establish an effective predictive nomogram. METHODS: Clinical and pathological data from 607 patients with hepatocellular carcinoma admitted to the Affiliated Hospital of Qinghai University between 1 January 2015 and 31 May 2018 were documented, as well as demographics, clinical pathological characteristics, and tumor-related parameters to clarify clinical risk factors for HCC EHM. These risks were selected to build an R-based clinical prediction model. The predictive accuracy and discriminating ability of the model were determined by the concordance index (C-index) and the calibration curve. The results were validated with a bootstrap resample and 151 patients from 1 June 2018 to 31 December 2019 at the same facility. RESULTS: In multivariate analysis, independent factors for EHM were neutrophils, prothrombin time, tumor number, and size, all of which were selected in the model. The C-index in the EHM prediction model was 0.672 and in the validation cohort was 0.694. In the training cohort and the validation cohort, the calibration curve for the probability of EHM showed good agreement between the nomogram prediction and the actual observation. CONCLUSION: The extrahepatic metastasis prediction model of hepatocellular carcinoma constructed in this study has some evaluation capability. |
format | Online Article Text |
id | pubmed-9709221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97092212022-12-01 Construction and validation of a prediction model of extrahepatic metastasis for hepatocellular carcinoma based on common clinically available data Zhou, Liuxin Ren, Li Yu, Wenhao Qi, Mengjian Yuan, Jiaqi Wang, Wen Su, Xiaoxia Yin, Fengjiao Deng, Manjun Wang, Haijiu Long, Hongmu Zeng, Jiangchao Yu, Jiajian Fan, Haining Wang, Zhixin Front Oncol Oncology OBJECTIVE: This study aimed to investigate the clinical characteristics and risk factors of patients with hepatocellular carcinoma (HCC) with extrahepatic metastases (EHM) and to establish an effective predictive nomogram. METHODS: Clinical and pathological data from 607 patients with hepatocellular carcinoma admitted to the Affiliated Hospital of Qinghai University between 1 January 2015 and 31 May 2018 were documented, as well as demographics, clinical pathological characteristics, and tumor-related parameters to clarify clinical risk factors for HCC EHM. These risks were selected to build an R-based clinical prediction model. The predictive accuracy and discriminating ability of the model were determined by the concordance index (C-index) and the calibration curve. The results were validated with a bootstrap resample and 151 patients from 1 June 2018 to 31 December 2019 at the same facility. RESULTS: In multivariate analysis, independent factors for EHM were neutrophils, prothrombin time, tumor number, and size, all of which were selected in the model. The C-index in the EHM prediction model was 0.672 and in the validation cohort was 0.694. In the training cohort and the validation cohort, the calibration curve for the probability of EHM showed good agreement between the nomogram prediction and the actual observation. CONCLUSION: The extrahepatic metastasis prediction model of hepatocellular carcinoma constructed in this study has some evaluation capability. Frontiers Media S.A. 2022-11-16 /pmc/articles/PMC9709221/ /pubmed/36465396 http://dx.doi.org/10.3389/fonc.2022.961194 Text en Copyright © 2022 Zhou, Ren, Yu, Qi, Yuan, Wang, Su, Yin, Deng, Wang, Long, Zeng, Yu, Fan and Wang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Zhou, Liuxin Ren, Li Yu, Wenhao Qi, Mengjian Yuan, Jiaqi Wang, Wen Su, Xiaoxia Yin, Fengjiao Deng, Manjun Wang, Haijiu Long, Hongmu Zeng, Jiangchao Yu, Jiajian Fan, Haining Wang, Zhixin Construction and validation of a prediction model of extrahepatic metastasis for hepatocellular carcinoma based on common clinically available data |
title | Construction and validation of a prediction model of extrahepatic metastasis for hepatocellular carcinoma based on common clinically available data |
title_full | Construction and validation of a prediction model of extrahepatic metastasis for hepatocellular carcinoma based on common clinically available data |
title_fullStr | Construction and validation of a prediction model of extrahepatic metastasis for hepatocellular carcinoma based on common clinically available data |
title_full_unstemmed | Construction and validation of a prediction model of extrahepatic metastasis for hepatocellular carcinoma based on common clinically available data |
title_short | Construction and validation of a prediction model of extrahepatic metastasis for hepatocellular carcinoma based on common clinically available data |
title_sort | construction and validation of a prediction model of extrahepatic metastasis for hepatocellular carcinoma based on common clinically available data |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9709221/ https://www.ncbi.nlm.nih.gov/pubmed/36465396 http://dx.doi.org/10.3389/fonc.2022.961194 |
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