Application of Bayes method in determining of the risk factors on the survival rate of gastric cancer patients

How to Cite:Baghestani AR, HajiZadeh E, Fatemi SR. Application of Bayes method in determining of the risk factors on the survival rate of gastric cancer patients. koomesh. 2010;11(2):e153798. doi:

Abstract

Introduction: Gastric cancer is one of the most common cancers in the world. The classical methods such as Cox regression and parametric models are used in most medical researches that their aims is the survival distribution survey, although the Bayes models have some advantages in compared with the classical models. The present study was performed to analyze the survival rate of patients who had gastric cancer and were under treatment in the gastroenterology ward of Taleghani hospital, in Tehran using Bayes models. Weibull distribution was used for modeling in the study. Material and Methods: This study was a cohort study and performed in the gastroenterology ward of Taleghani hospital by using gastric cancer patient's data from January 2003 to December 2007.178 patients were enrolled to the study and their information was collected through telephone contacts. The survival rate of patients were analyzed using Bayes Weibull models by considering variables such as age of diagnosis, gender, tumor size, metastasis of other lymph. For determining of the risk factors on the survival of patients, was used Weibull model in the case that interval censoring. Data analysis was carried out using Winbugs software and significant levels were considered 0.05. Results: The results showed survival rate are dependent on the age of diagnosis and tumor size. Those patients who had early diagnosis, the rate of survival was greater. In addition, he patients who had smaller tumor size, their survival rate was greater. Conclusion: Considering to classical models are based on normal approximation and applicable for big samples, Bayes methods are emphasized for small to medium samples. The results of this study showed that the Bayesian Weibull model is a suitable model. This study also showed that age of diagnosis and tumor size of patients is important factors in regard to the survival rate of these patients. As a result, if gastric cancer is diagnosed early, the relative risk of death would reduce.

Keywords

Import into EndNote Import into BibTex

Share on

Comments

Number of Comments:0

Cited by

Scopus by DOI: 0
Last Update: 3 days ago
Scopus by Title: 9
Last Update: 3 days ago
Scopus by Title (Ref): 9
Last Update: 3 days ago
CrossRef: 0
Last Update: 2 days ago

Metrics

Ordering Reprints

Articles are published under the Creative Commons license stated on each article. No permission or royalty fee is required for uses permitted by that license. CCC handles optional bulk and customized reprint orders. Any quotation covers production and delivery services only, not copyright permission. > Request Reprints from CCC

Search Relations

Author(s):

Ahmad Reza Baghestani:[PubMed][Scholar]
Ebrahim HajiZadeh:[PubMed][Scholar]
Seyed Reza Fatemi:[PubMed][Scholar]

Journal of Semnan University of Medical Sciences

Outlines

Application of Bayes method in determining of the risk factors on the survival rate of gastric cancer patients

Abstract

Last Update: 3 days ago

Last Update: 3 days ago

Last Update: 3 days ago

Last Update: 2 days ago