Khaksar Elahe, Askarishahi Mohsen, Hekmatimoghaddam Seyedhossein, Vahedian-Ardakani Hassanali
Department of Biostatistics and Epidemiology, School of Health, Shahid Sadoughi University of Medical Sciences, Safayeh, Yazd, Iran. Email:
Asian Pac J Cancer Prev. 2017 Dec 29;18(12):3389-3393. doi: 10.22034/APJCP.2017.18.12.3389.
Background and objectives: The present study of survival rate of patients with non-small cell carcinoma (NSCLC) compared the efficiency of Cox semi-parametric vs. parametric models in determination of influencing factors. Methods: In this retrospective cohort study, data were gathered from 190 patients with a confirmed diagnosis of NSCLC referred to Shahid Sadoughi and Shohadaye Kargar Hospitals in Yazd, Iran during 2005 to 2014. To identify and compare factors influencing the survival rate, a Cox semi-parametric model was fitted to the data. Data analysis was performed using the R software version R3.3.1, and the significance level was set at 0.05. Results: The average age was 64.5 years. About 40% of patients had stage 4 disease. The median survival was 8 months. After comparing the models, the more efficient was the log-normal distribution (AIC=889.3829), with which disease stage, type of therapy, and age were significant factors. Among the different types of therapy, chemotherapy and radiotherapy yielded higher survival rates, and increased age was associated with lower survival. Conclusion: The most efficient model was a log-normal model. Implementation of optimal therapies at early stages can improve the survival of patients.
本项关于非小细胞肺癌（NSCLC）患者生存率的研究比较了Cox半参数模型与参数模型在确定影响因素方面的效率。方法：在这项回顾性队列研究中，收集了2005年至2014年期间转诊至伊朗亚兹德的沙希德·萨杜基医院和绍哈达耶·卡尔加医院的190例确诊为NSCLC患者的数据。为了识别和比较影响生存率的因素，对数据拟合了Cox半参数模型。使用R软件版本R3.3.1进行数据分析，显著性水平设定为0.05。结果：平均年龄为64.5岁。约40%的患者患有IV期疾病。中位生存期为8个月。比较模型后，对数正态分布模型（AIC = 889.3829）效率更高，疾病分期、治疗类型和年龄是显著因素。在不同类型的治疗中，化疗和放疗的生存率更高，年龄增加与生存率降低相关。结论：最有效的模型是对数正态模型。早期实施最佳治疗可提高患者生存率。
