Faradmal Javad, Roshanaei Ghodratollah, Mafi Maryam, Sadighi-Pashaki Abdolazim, Karami Manoochehr
Modeling of Noncommunicable Diseases Research Center, Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
J Res Health Sci. 2016 Winter;16(1):36-40.
The occurrence and the mortality related to breast cancer (BC) in Iranian female population has increased over time. Although there are many studies on BC and related risk factors, however, the epidemiological aspects of this melanoma in Iranian females are uncertain. Therefore, the aim of this study was to determine the relationship between demographical and clinical factors on the shape of overall survival (OS) distribution in patients with BC.
This historical cohort study was carried out using data from 522 participants with BC. Data were gathered from medical records of these patients admitted to Mahdieh Oncology Center of Hamadan Province, western Iran, from January 2000 to August 2011. Kaplan-Meier estimator was used to estimate the survival rates and, censored quantile regression (CQR) to provide in-depth insight in the multivariable association between prognosis factors and survival rates.
Patients' follow-up ranged from around 3 to 197 months. One-, three-, and five-year survival rates were 90%, 73% and 62.5%, respectively. Results of CQR model showed that change in the age at diagnosis, number of involved lymph nodes and tumor size could significantly change the median and some other quantiles of OS.
This study, confirm the importance of early detection of BC and usefulness of CQR because of possible changes in distribution family of survival time.
随着时间的推移，伊朗女性人群中与乳腺癌（BC）相关的发病率和死亡率有所上升。尽管有许多关于乳腺癌及相关危险因素的研究，然而，这种黑色素瘤在伊朗女性中的流行病学情况尚不确定。因此，本研究的目的是确定人口统计学和临床因素与乳腺癌患者总生存（OS）分布形状之间的关系。
本历史性队列研究使用了522名乳腺癌患者的数据。数据收集自2000年1月至2011年8月入住伊朗西部哈马丹省马赫迪耶肿瘤中心的这些患者的病历。采用Kaplan-Meier估计器来估计生存率，并使用删失分位数回归（CQR）来深入了解预后因素与生存率之间的多变量关联。
患者的随访时间约为3至197个月。1年、3年和5年生存率分别为90%、73%和62.5%。CQR模型的结果表明，诊断时年龄、受累淋巴结数量和肿瘤大小的变化可显著改变总生存的中位数和其他一些分位数。
本研究证实了早期发现乳腺癌的重要性以及CQR的实用性，因为生存时间的分布族可能会发生变化。
