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, 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, 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, Ph.D. Assistant Professor, Department of Health and Social Medicine, medical School, Urmia University of Medical Sciences, Urmia, Iran
Abstract: (4944 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.
Type of Study:
Research |
Subject:
Public Health
| * Corresponding Author Address: Ph.D. Assistant Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran |