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A nomogram to predict overall survival for biliary tract cancer
BACKGROUND: The aim of the study was to develop and validate a nomogram to predict overall survival (OS) in biliary tract cancer (BTC). PATIENTS AND METHODS: Patients diagnosed with BTC between 2004 and 2014 were selected for the study from the Surveillance, Epidemiology, and End Results (SEER) data...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005298/ https://www.ncbi.nlm.nih.gov/pubmed/29942155 http://dx.doi.org/10.2147/CMAR.S163291 |
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author | Song, Wei Zhu, Zhi-gang Wu, Qiong Lv, Chang-guang Wang, Yong-gang Chen, Lei Miao, Dong-liu |
author_facet | Song, Wei Zhu, Zhi-gang Wu, Qiong Lv, Chang-guang Wang, Yong-gang Chen, Lei Miao, Dong-liu |
author_sort | Song, Wei |
collection | PubMed |
description | BACKGROUND: The aim of the study was to develop and validate a nomogram to predict overall survival (OS) in biliary tract cancer (BTC). PATIENTS AND METHODS: Patients diagnosed with BTC between 2004 and 2014 were selected for the study from the Surveillance, Epidemiology, and End Results (SEER) database. All patients were randomly allocated to 2 sets, the training set (n = 8,869) and the validation set (n = 8,766), for the purposes of validation. The prognostic effects of each variable were examined using univariate and multivariate analyses. Cox regression models and a nomogram were developed based on significant prognostic factors. The predictive and discriminatory capacity of the nomogram was evaluated by Harrell’s concordance index (C-index) and calibration plots. RESULTS: Data of 17,635 patients with BTC were collected from the SEER database. Age; race; tumor site; tumor grade; T, N, and M stage; marital status; and therapy were associated with survival in the multivariate models. All these factors were integrated to construct the nomogram. The nomogram for predicting OS displayed better discrimination power than the tumor-node-metastasis (TNM) stage system 6th edition in the training set and validation set. The calibration curve indicated that the nomogram was able to accurately predict 3- and 5-year OS. CONCLUSION: This predictive model has the potential to provide an individualized risk estimate of survival in patients with BTC. |
format | Online Article Text |
id | pubmed-6005298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-60052982018-06-25 A nomogram to predict overall survival for biliary tract cancer Song, Wei Zhu, Zhi-gang Wu, Qiong Lv, Chang-guang Wang, Yong-gang Chen, Lei Miao, Dong-liu Cancer Manag Res Original Research BACKGROUND: The aim of the study was to develop and validate a nomogram to predict overall survival (OS) in biliary tract cancer (BTC). PATIENTS AND METHODS: Patients diagnosed with BTC between 2004 and 2014 were selected for the study from the Surveillance, Epidemiology, and End Results (SEER) database. All patients were randomly allocated to 2 sets, the training set (n = 8,869) and the validation set (n = 8,766), for the purposes of validation. The prognostic effects of each variable were examined using univariate and multivariate analyses. Cox regression models and a nomogram were developed based on significant prognostic factors. The predictive and discriminatory capacity of the nomogram was evaluated by Harrell’s concordance index (C-index) and calibration plots. RESULTS: Data of 17,635 patients with BTC were collected from the SEER database. Age; race; tumor site; tumor grade; T, N, and M stage; marital status; and therapy were associated with survival in the multivariate models. All these factors were integrated to construct the nomogram. The nomogram for predicting OS displayed better discrimination power than the tumor-node-metastasis (TNM) stage system 6th edition in the training set and validation set. The calibration curve indicated that the nomogram was able to accurately predict 3- and 5-year OS. CONCLUSION: This predictive model has the potential to provide an individualized risk estimate of survival in patients with BTC. Dove Medical Press 2018-06-14 /pmc/articles/PMC6005298/ /pubmed/29942155 http://dx.doi.org/10.2147/CMAR.S163291 Text en © 2018 Song et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Song, Wei Zhu, Zhi-gang Wu, Qiong Lv, Chang-guang Wang, Yong-gang Chen, Lei Miao, Dong-liu A nomogram to predict overall survival for biliary tract cancer |
title | A nomogram to predict overall survival for biliary tract cancer |
title_full | A nomogram to predict overall survival for biliary tract cancer |
title_fullStr | A nomogram to predict overall survival for biliary tract cancer |
title_full_unstemmed | A nomogram to predict overall survival for biliary tract cancer |
title_short | A nomogram to predict overall survival for biliary tract cancer |
title_sort | nomogram to predict overall survival for biliary tract cancer |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005298/ https://www.ncbi.nlm.nih.gov/pubmed/29942155 http://dx.doi.org/10.2147/CMAR.S163291 |
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