Cheung Rex
275 S Bryn Mawr Ave, K43, Bryn Mawr, PA 19010 E-mail :
Asian Pac J Cancer Prev. 2013;14(12):7117-20. doi: 10.7314/apjcp.2013.14.12.7117.
This study hypothesized living in a poor neighborhood decreased the cause specific survival in individuals suffering from carcinoid carcinomas. Surveillance, Epidemiology and End Results (SEER) carcinoid carcinoma data were used to identify potential socioeconomic disparities in outcome.
This study analyzed socioeconomic, staging and treatment factors available in the SEER database for carcinoid carcinomas. The Kaplan-Meier method was used to analyze time to events and the Kolmogorov-Smirnov test to compare survival curves. The Cox proportional hazard method was employed for multivariate analysis. Areas under the receiver operating characteristic curves (ROCs) were computed to screen the predictors for further analysis.
There were 38,546 patients diagnosed from 1973 to 2009 included in this study. The mean follow up time (S.D.) was 68.1 (70.7) months. SEER stage was the most predictive factor of outcome (ROC area of 0.79). 16.4% of patients were un-staged. Race/ethnicity, rural urban residence and county level family income were significant predictors of cause specific survival on multivariate analysis, these accounting for about 5% of the difference in actuarial cause specific survival at 20 years of follow up.
This study found poorer cause specific survival of carcinoid carcinomas of individuals living in poor and rural neighborhoods.
本研究假设生活在贫困社区会降低类癌患者特定病因的生存率。利用监测、流行病学和最终结果(SEER)类癌数据来确定结局方面潜在的社会经济差异。
本研究分析了SEER数据库中类癌的社会经济、分期和治疗因素。采用Kaplan-Meier方法分析事件发生时间,采用Kolmogorov-Smirnov检验比较生存曲线。采用Cox比例风险方法进行多变量分析。计算受试者工作特征曲线(ROC)下的面积,以筛选预测因素进行进一步分析。
本研究纳入了1973年至2009年诊断的38546例患者。平均随访时间(标准差)为68.1(70.7)个月。SEER分期是结局的最具预测性因素(ROC面积为0.79)。16.4%的患者未分期。种族/民族、城乡居住地和县级家庭收入在多变量分析中是特定病因生存的显著预测因素,在20年随访时,这些因素约占精算特定病因生存差异的5%。
本研究发现生活在贫困和农村社区的个体类癌特定病因生存率较低。