Zarei Masoud, Mirzaee Moghaddameh, Alizadeh Hosniyeh, Jahani Yunes
Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Department of Biostatistics and Epidemiology, School of Public Health, Kerman University of Medical Sciences, Kerman, Iran.
Med J Islam Repub Iran. 2021 Feb 2;35:16. doi: 10.47176/mjiri.35.16. eCollection 2021.
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. 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. 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. 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.
确定影响生存的因素和合适的治疗方法有助于提高癌症患者的生存率和生活质量；因此，本研究旨在确定伊朗克尔曼市喉癌患者生存率的影响因素。这项回顾性队列研究纳入了2008年至2018年期间转诊至伊朗克尔曼市医院的370例喉癌患者。使用Cox比例风险模型和林英加法风险模型对数据进行分析。数据分析使用SAS软件9.4版完成。P值小于0.05被认为具有统计学意义。诊断时的平均年龄为58.16±10.60岁。约92%的患者为男性。患者的1年、3年、5年、7年和10年总生存率分别为82.38%、60.68%、55.98%、49.83%和30.91%。在Cox模型中，诊断时的年龄（p=0.001）、放疗（p=0.001）、化疗（p=0.015）、手术（p=0.031）和吸烟（p=0.001）被发现对患者的生存率有显著影响。这些变量在林英模型中也具有显著性。治疗是控制癌症患者疾病和生存的重要因素，选择最佳治疗方法取决于患者的病情和疾病程度。
