A nomogram to predict overall survival for biliary tract cancer
Wei Song,* Zhi-gang Zhu,* Qiong Wu, Chang-guang Lv, Yong-gang Wang, Lei Chen, Dong-liu Miao Department of Intervention and Vascular Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou Cancer Medical Center, Suzhou, China *These authors contributed...
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doaj-ddfb80372953467d802aec6f22a559dc2020-11-24T21:29:12ZengDove Medical PressCancer Management and Research1179-13222018-06-01Volume 101535154138825A nomogram to predict overall survival for biliary tract cancerSong WZhu ZWu QLv CWang YChen LMiao DWei Song,* Zhi-gang Zhu,* Qiong Wu, Chang-guang Lv, Yong-gang Wang, Lei Chen, Dong-liu Miao Department of Intervention and Vascular Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou Cancer Medical Center, Suzhou, China *These authors contributed equally to this work 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. Keywords: nomogram, biliary tract cancer, SEER, prognosishttps://www.dovepress.com/a-nomogram-to-predict-overall-survival-for-biliary-tract-cancer-peer-reviewed-article-CMARnomogrambiliary tract cancerSEERprognosis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Song W Zhu Z Wu Q Lv C Wang Y Chen L Miao D |
spellingShingle |
Song W Zhu Z Wu Q Lv C Wang Y Chen L Miao D A nomogram to predict overall survival for biliary tract cancer Cancer Management and Research nomogram biliary tract cancer SEER prognosis |
author_facet |
Song W Zhu Z Wu Q Lv C Wang Y Chen L Miao D |
author_sort |
Song W |
title |
A nomogram to predict overall survival for biliary tract cancer |
title_short |
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_sort |
nomogram to predict overall survival for biliary tract cancer |
publisher |
Dove Medical Press |
series |
Cancer Management and Research |
issn |
1179-1322 |
publishDate |
2018-06-01 |
description |
Wei Song,* Zhi-gang Zhu,* Qiong Wu, Chang-guang Lv, Yong-gang Wang, Lei Chen, Dong-liu Miao Department of Intervention and Vascular Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou Cancer Medical Center, Suzhou, China *These authors contributed equally to this work 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. Keywords: nomogram, biliary tract cancer, SEER, prognosis |
topic |
nomogram biliary tract cancer SEER prognosis |
url |
https://www.dovepress.com/a-nomogram-to-predict-overall-survival-for-biliary-tract-cancer-peer-reviewed-article-CMAR |
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