Volume 16, Issue 1 (6-2018)                   sjsph 2018, 16(1): 63-74 | Back to browse issues page

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Mohammadpour M, Yaseri M, Mahmoudi M, Entezar Mahdi R. Estimation of Survival in Women Diagnosed with Breast Cancer with Cure Survival in West-Azerbaijan and East-Azerbaijan Provinces. sjsph. 2018; 16 (1) :63-74
URL: http://sjsph.tums.ac.ir/article-1-5620-en.html
1- MSc. Student, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2- Ph.D. Assistant Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran , m.yaseri@gmail.com
3- Ph.D. Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
4- Ph.D. Assistant Professor, Department of Health and Social Medicine, Medical School, Urmia University of Medical Sciences, Urmia, Iran
Abstract:   (386 Views)

Background and Aim: Breast cancer is one of the most prevalent cancers in women and is the second cause of mortality due to cancer in women, with lung cancer being the first.

Materials and Methods: In this study we followed all the cases for 5 years, patients from West-Azerbaijan and East-Azerbaijan Provinces that diagnosed with breast cancer in 2009 and 2010 that attended to health cares. Using multivariate cure cox model for the influence of variables in this study.

Results: In this study 171 cases which suffering from breast cancer had the mean age of 55.9 ± 12.9 and the range of 23 to 89 years, in time of cancer diagnosis. Mean of patients follow-up was 51.7± 23.4 months with range of 11 days to 78 months. Overalls 52 death occurred and patient survival rate of 5 years was estimated 60. 6 percent. Eventually the two variables which are economic status and emergency hospitalization were found the two factors of pre-warning in long term survival of patient suffering from breast cancer.

Conclusion: Due to the findings, it seems using cure model in patients suffering from breast cancer was better than classical survival models.

Full-Text [PDF 994 kb]   (92 Downloads)    
Type of Study: Research | Subject: Public Health
Received: 2018/06/19 | Accepted: 2018/06/19 | Published: 2018/06/19

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