Repository of Research and Investigative Information

Repository of Research and Investigative Information

dezful University of Medical Sciences

Evaluation of risk factors in patients with breast cancer in stages III and IV: comparison of Cox and Fine-Grey competing risk regression models

(2018) Evaluation of risk factors in patients with breast cancer in stages III and IV: comparison of Cox and Fine-Grey competing risk regression models. Biomedical Research and Therapy.

Full text not available from this repository.

Official URL: http://apps.webofknowledge.com/InboundService.do?F...

Abstract

Introduction: The aim of this study is to fit Fine-Grey competing risk model and compare its results with stratified Cox model and to examine its application in breast cancer data. Methods: The study was conducted on 15830 women diagnosed with breast cancer in British Columbia, Canada. They were divided into four groups according to patients' stage of disease then for patients with stage III and IV breast cancer was fitted Cox's model and Fine-Grey competing risk flexible models to each group. Results: The data show that Out of 1888 patients, 578 lied in the age group of below 50 years old, while 1310 were above 50 years of age. The results obtained from fitting stratified Cox regression model indicate that the variables of age and surgery are significant. The patients in the age group of below 50 years old have 70 less hazard in comparison with people older than 50 years of age (HR=0.83). Further, the patients receiving surgery have 38 less hazard in comparison with the patients not receiving surgery (HR=0.62). Then we fit Fine-Grey competing risk models. the variable of chemotherapy is significant in both parametric and semi-parametric competing risk models, and its hazard ratio is HR=1.15 and HR=1.14 in the two models, respectively. On the other hand, the variable of age has not become significant in any of the models, and its hazard ratio is HR=0.92 and HR=0.93, respectively. The variable of surgery in the competing risk parametric model is significant with an HR of 0.67. In Cox model, the variable of surgery is also significant with HR=0.62. Moreover, the variable of age in the competing risk parametric model has not become significant (HR=0.92), and in contrast the variable of age in the Cox model is significant (HR=0.83). Conclusion: The results of this study show that Considering the comparison of the two models, it is observed that regardless of the properties of competing risk data, estimations of hazard ratio and the extent of significance resulting from Cox models are different from those of competing risk models.

Item Type: Article
Creators:
CreatorsEmail
Arani, M. D.UNSPECIFIED
Abadi, A.UNSPECIFIED
Yavari, A.UNSPECIFIED
Bashiri, Y.UNSPECIFIED
Mahmudi, L.UNSPECIFIED
Bajdik, C.UNSPECIFIED
Keywords: Breast cancer Competing Risk Cox regression survival death Research & Experimental Medicine
Journal index: ISI
Journal or Publication Title: Biomedical Research and Therapy
Volume: 5
Number: 2
Date: 2018
URI: http://eprints.dums.ac.ir/id/eprint/3409

Actions (login required)

View Item View Item