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...

Full description

Bibliographic Details
Main Authors: Song W, Zhu Z, Wu Q, Lv C, Wang Y, Chen L, Miao D
Format: Article
Language:English
Published: Dove Medical Press 2018-06-01
Series:Cancer Management and Research
Subjects:
Online Access:https://www.dovepress.com/a-nomogram-to-predict-overall-survival-for-biliary-tract-cancer-peer-reviewed-article-CMAR
id doaj-ddfb80372953467d802aec6f22a559dc
record_format Article
spelling 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
work_keys_str_mv AT songw anomogramtopredictoverallsurvivalforbiliarytractcancer
AT zhuz anomogramtopredictoverallsurvivalforbiliarytractcancer
AT wuq anomogramtopredictoverallsurvivalforbiliarytractcancer
AT lvc anomogramtopredictoverallsurvivalforbiliarytractcancer
AT wangy anomogramtopredictoverallsurvivalforbiliarytractcancer
AT chenl anomogramtopredictoverallsurvivalforbiliarytractcancer
AT miaod anomogramtopredictoverallsurvivalforbiliarytractcancer
AT songw nomogramtopredictoverallsurvivalforbiliarytractcancer
AT zhuz nomogramtopredictoverallsurvivalforbiliarytractcancer
AT wuq nomogramtopredictoverallsurvivalforbiliarytractcancer
AT lvc nomogramtopredictoverallsurvivalforbiliarytractcancer
AT wangy nomogramtopredictoverallsurvivalforbiliarytractcancer
AT chenl nomogramtopredictoverallsurvivalforbiliarytractcancer
AT miaod nomogramtopredictoverallsurvivalforbiliarytractcancer
_version_ 1725966810015072256