Volume 15, Issue 4 (3-2018)                   sjsph 2018, 15(4): 337-350 | Back to browse issues page

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Zarean E, Yaseri M, Mahmoodi M, Entezar Mahdi R. Factors Affecting Long-Term Survival Rate with Cure Fraction Using the Mixture Cure Cox Model in Patients with Gastric Cancer in East-Azerbaijan Province, Iran. sjsph 2018; 15 (4) :337-350
URL: http://sjsph.tums.ac.ir/article-1-5589-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:   (3732 Views)

Background and Aim: Gastric cancer is one the most common gastrointestinal tract cancers in Iran, with East-Azerbaijan Province ranking second in the country. The objectives of this research were to determine the feasibility of using cure models in survival analysis and factors affecting short-term and long-term patient survival rates using the mixture cure cox model.

Materials and Methods: We used the available information on 184 patients diagnosed with gastric cancer in East-Azerbaijan Province cities referring to medical centers during the period 2009-2010 and followed up for 5 years.

Results: The median of survival time was 8.33 months (95% CI = 5.9-10.6). Fitting the univariate and final cox cure models showed that in the short-term survival the effect of the chemotherapy factor was statistically significant (Hazard ratio =0.49, 95% CI = 0.34, 0.69, p-value <0.001).

Conclusion: If the population under study consists of two groups of susceptible and non-susceptible individuals for the intended incident, the mixture cure models can be used for the discrete analysis of long-term and short-term survival of patients diagnosed with gastric cancer and identification of variables affecting the two survival rates.

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Type of Study: Research | Subject: Public Health
Received: 2018/03/14 | Accepted: 2018/03/14 | Published: 2018/03/14

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