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http://dx.doi.org/10.7314/APJCP.2015.16.12.5081

Prognostic Factors for Survival in Patients with Breast Cancer Referred to Omitted Cancer Research Center in Iran  

Baghestani, Ahmad Reza (Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences)
Shahmirzalou, Parviz (Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences)
Zayeri, Farid (Department of Biostatistics, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences)
Akbari, Mohammad Esmaeil (Cancer Research Center, Shahid Beheshti University of Medical Sciences)
Hadizadeh, Mohammad (Cancer Research Center, Shahid Beheshti University of Medical Sciences)
Publication Information
Asian Pacific Journal of Cancer Prevention / v.16, no.12, 2015 , pp. 5081-5084 More about this Journal
Abstract
Background: Breast cancer is a malignant tumor that starts from cells of the breast and is seen mainly in women. It's the most common cancer in women worldwide and is a major threat to health. The purpose of this study was to fit a Cox proportional hazards model for prediction and determination of years of survival in Iranian patients. Materials and Methods: A total of 366 patients with breast cancer in the Cancer Research Center were included in the study. A Cox proportional hazard model was used with variables such as tumor grade, number of removed positive lymph nodes, human epidermal growth factor receptor 2 (HER2) expression and several other variables. Kaplan-Meier curves were plotted and multi-years of survival were evaluated. Results: The mean age of patients was 48.1 years. Consumption of fatty foods (p=0.033), recurrence (p<0.001), tumor grade (p=0.046) and age (p=0.017) were significant variables. The overall 1- year, 3-year and 5-year survival rates were found to be 93%, 75% and 52%. Conclusions: Use of covariates and the Cox proportional hazard model are effective in predicting the survival of individuals and this model distinguished 4 effective factors in the survival of patients.
Keywords
Breast neoplasms; Cox model; proportional hazards models; survival analysis; Iran;
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Times Cited By KSCI : 9  (Citation Analysis)
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