Cargando…

Comprehensive analysis of coagulation indices for predicting survival in patients with biliary tract cancer

BACKGROUND: Abnormal activation of the coagulation system has been reported in patients with malignancies, but its prognostic significance in biliary tract cancer (BTC) remains unclear. This study aims to analyze and compare the prognostic value of coagulation indices in patients with BTC. METHODS:...

Descripción completa

Detalles Bibliográficos
Autores principales: Ke, Xindi, Jin, Bao, You, Wen, Chen, Yang, Xu, Haifeng, Zhao, Haitao, Lu, Xin, Sang, Xinting, Zhong, Shouxian, Yang, Huayu, Mao, Yilei, Du, Shunda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390227/
https://www.ncbi.nlm.nih.gov/pubmed/34433454
http://dx.doi.org/10.1186/s12885-021-08684-w
_version_ 1783743047479066624
author Ke, Xindi
Jin, Bao
You, Wen
Chen, Yang
Xu, Haifeng
Zhao, Haitao
Lu, Xin
Sang, Xinting
Zhong, Shouxian
Yang, Huayu
Mao, Yilei
Du, Shunda
author_facet Ke, Xindi
Jin, Bao
You, Wen
Chen, Yang
Xu, Haifeng
Zhao, Haitao
Lu, Xin
Sang, Xinting
Zhong, Shouxian
Yang, Huayu
Mao, Yilei
Du, Shunda
author_sort Ke, Xindi
collection PubMed
description BACKGROUND: Abnormal activation of the coagulation system has been reported in patients with malignancies, but its prognostic significance in biliary tract cancer (BTC) remains unclear. This study aims to analyze and compare the prognostic value of coagulation indices in patients with BTC. METHODS: The medical records of 450 patients with BTC who underwent surgical resection at our hospital between 2003 and 2017 were retrospectively analyzed. Time-dependent receiver operating characteristic curves were plotted to compare the predictive accuracy of coagulation indices. A predictive nomogram for overall survival (OS) was established based on the Cox regression analysis and validated in both the training and validation cohorts. A novel stratification model was created according to the total points of the nomogram. RESULTS: Fibrinogen and international normalized ratio (INR) had the best predictive accuracy among the coagulation indices considered and were also the independent prognostic factors for OS. The nomogram and the novel stratification model had satisfactory performance and outperformed TNM staging. CONCLUSIONS: The study demonstrated that coagulation indices are valuable in predicting OS in BTC, with fibrinogen and INR having the best predictive ability. The nomogram and the novel stratification model could be applied to predict survival for patients with BTC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08684-w.
format Online
Article
Text
id pubmed-8390227
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-83902272021-08-27 Comprehensive analysis of coagulation indices for predicting survival in patients with biliary tract cancer Ke, Xindi Jin, Bao You, Wen Chen, Yang Xu, Haifeng Zhao, Haitao Lu, Xin Sang, Xinting Zhong, Shouxian Yang, Huayu Mao, Yilei Du, Shunda BMC Cancer Research BACKGROUND: Abnormal activation of the coagulation system has been reported in patients with malignancies, but its prognostic significance in biliary tract cancer (BTC) remains unclear. This study aims to analyze and compare the prognostic value of coagulation indices in patients with BTC. METHODS: The medical records of 450 patients with BTC who underwent surgical resection at our hospital between 2003 and 2017 were retrospectively analyzed. Time-dependent receiver operating characteristic curves were plotted to compare the predictive accuracy of coagulation indices. A predictive nomogram for overall survival (OS) was established based on the Cox regression analysis and validated in both the training and validation cohorts. A novel stratification model was created according to the total points of the nomogram. RESULTS: Fibrinogen and international normalized ratio (INR) had the best predictive accuracy among the coagulation indices considered and were also the independent prognostic factors for OS. The nomogram and the novel stratification model had satisfactory performance and outperformed TNM staging. CONCLUSIONS: The study demonstrated that coagulation indices are valuable in predicting OS in BTC, with fibrinogen and INR having the best predictive ability. The nomogram and the novel stratification model could be applied to predict survival for patients with BTC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-08684-w. BioMed Central 2021-08-25 /pmc/articles/PMC8390227/ /pubmed/34433454 http://dx.doi.org/10.1186/s12885-021-08684-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ke, Xindi
Jin, Bao
You, Wen
Chen, Yang
Xu, Haifeng
Zhao, Haitao
Lu, Xin
Sang, Xinting
Zhong, Shouxian
Yang, Huayu
Mao, Yilei
Du, Shunda
Comprehensive analysis of coagulation indices for predicting survival in patients with biliary tract cancer
title Comprehensive analysis of coagulation indices for predicting survival in patients with biliary tract cancer
title_full Comprehensive analysis of coagulation indices for predicting survival in patients with biliary tract cancer
title_fullStr Comprehensive analysis of coagulation indices for predicting survival in patients with biliary tract cancer
title_full_unstemmed Comprehensive analysis of coagulation indices for predicting survival in patients with biliary tract cancer
title_short Comprehensive analysis of coagulation indices for predicting survival in patients with biliary tract cancer
title_sort comprehensive analysis of coagulation indices for predicting survival in patients with biliary tract cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390227/
https://www.ncbi.nlm.nih.gov/pubmed/34433454
http://dx.doi.org/10.1186/s12885-021-08684-w
work_keys_str_mv AT kexindi comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT jinbao comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT youwen comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT chenyang comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT xuhaifeng comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT zhaohaitao comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT luxin comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT sangxinting comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT zhongshouxian comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT yanghuayu comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT maoyilei comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer
AT dushunda comprehensiveanalysisofcoagulationindicesforpredictingsurvivalinpatientswithbiliarytractcancer