Volume 35, Issue 1 (1-2021)                   Med J Islam Repub Iran 2021 | Back to browse issues page


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Zarei M, Mirzaee M, Alizadeh H, Jahani Y. Investigation of the affective factors on the survival rate of patients with laryngeal cancer using Cox proportional hazards and Lin -Ying’s additive hazards models. Med J Islam Repub Iran. 2021; 35 (1) :114-120
URL: http://mjiri.iums.ac.ir/article-1-6730-en.html
Modeling in Health Research Center, Institute for Futures Studies in Health, & Department of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran , u.jahani@kmu.ac.ir
Abstract:   (171 Views)
Background: Determining the factors affecting survival and appropriate treatment methods leads to improving the survival rate and quality of life in cancer patients; therefore this study was aimed to determine the effective factors on the survival rate of patients with Laryngeal cancer in Kerman city, Iran.
   Methods: This retrospective cohort study included 370 patients with Laryngeal cancer who referred to the hospitals of Kerman city, Iran during 2008 to 2018. Data were analyzed using Cox Proportional Hazards and Lin-Ying’s Additive Hazards models. Data analysis was done using SAS software version 9.4. The P-value of less than 0.05 was considered as statistically significant.
   Results: The mean age at the time of diagnosis was 58.16±10.60 years. About 92% of the patients were men. The patient’s 1, 3, 5, 7 and 10-years of overall survival rates were equal to 82.38%, 60.68%, 55.98%, 49.83%, and 30.91%, respectively. Age at the diagnosis (p=0.001), radiotherapy (p=0.001), chemotherapy (p=0.015), surgery (p=0.031), and smoking (p=0.001) were found to have significant effect on the patient’s survival rate in the Cox model. These variables were significant in the Lin-Ying model too.
   Conclusion: Treatment is an important factor in controlling the disease and survival of cancer patients, and choosing the best treatment depends on the condition of the patient and the disease level.
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