Volume 23, Number 151 (1-2017)                   RJMS 2017, 23(151): 1-9 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Baghestani1 A R, Moamar S, Pourhoseingholi M A, Khaden Maboudi A A. Application of the competing risk model to identify factors influencing survival time in colorectal cancer. RJMS. 2017; 23 (151) :1-9
URL: http://rjms.iums.ac.ir/article-1-4692-en.html

MSc in Biostatistics, Faculty of Paramedical Sciences Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abstract:   (1488 Views)

Background and Objective: Colorectal cancer is the most common cancer of digestive system in Iran.The incidence of this cancer has increased in recent years.The aim of this study was to evaluate the survival rate and to define the prognostic factors in Iranian colorectal cancer patients using competing risk model.

Materials and Methods: Data recorded from 1060 patients with colorectal cancer who registered in Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences (Tehran, Iran) from 2004 to 2015 in a retrospective study. Analysis was performed using competing risks model. Software used for data analysis was STATA, and significance level was regarded as 0.05.

Results: The result indicated that, at the end of follow-up, 380 (35.8%) death was from colorectal cancer and 49 (4.6%) death was due to other diseases and 631 patients (59.5%) survived till the end of the study. The mean survival time for a patient in 1060 was 56.96±1.46 month with median equals 45.5 months. According to competing-risks method, only age at diagnosis and body mass index has a significant effect on patient’s survival time.

Conclusion: : In order to identify the prognostic risk factors on the survival of patients with colorectal cancer, in presence of competing risks, using the competing risk regression model was found more efficient compared to cox regression model.

Full-Text [PDF 678 kb]   (683 Downloads)    
Type of Study: Research | Subject: Biostatistics

Send email to the article author


© 2015 All Rights Reserved | Razi Journal of Medical Sciences

Designed & Developed by : Yektaweb