...
首页> 外文期刊>Asian Pacific Journal of Cancer Prevention >Racial and Socioeconomic Disparities in Malignant Carcinoid Cancer Cause Specific Survival: Analysis of the Surveillance, Epidemiology and End Results National Cancer Registry
【24h】

Racial and Socioeconomic Disparities in Malignant Carcinoid Cancer Cause Specific Survival: Analysis of the Surveillance, Epidemiology and End Results National Cancer Registry

机译:恶性类癌的种族和社会经济差异导致特定的生存:监测,流行病学和最终结果的分析国家癌症登记局

获取原文
           

摘要

Background: This study hypothesized living in a poor neighborhood decreased the cause specific survival inindividuals suffering from carcinoid carcinomas. Surveillance, Epidemiology and End Results (SEER) carcinoidcarcinoma data were used to identify potential socioeconomic disparities in outcome. Materials and Methods:This study analyzed socioeconomic, staging and treatment factors available in the SEER database for carcinoidcarcinomas. The Kaplan-Meier method was used to analyze time to events and the Kolmogorov-Smirnov test tocompare survival curves. The Cox proportional hazard method was employed for multivariate analysis. Areasunder the receiver operating characteristic curves (ROCs) were computed to screen the predictors for furtheranalysis. Results: There were 38,546 patients diagnosed from 1973 to 2009 included in this study. The meanfollow up time (S.D.) was 68.1 (70.7) months. SEER stage was the most predictive factor of outcome (ROC areaof 0.79). 16.4% of patients were un-staged. Race/ethnicity, rural urban residence and county level family incomewere significant predictors of cause specific survival on multivariate analysis, these accounting for about 5% ofthe difference in actuarial cause specific survival at 20 years of follow up. Conclusions: This study found poorercause specific survival of carcinoid carcinomas of individuals living in poor and rural neighborhoods.
机译:背景:本研究假设生活在贫困地区会降低罹患类癌的个体的特定生存原因。监测,流行病学和最终结果(SEER)类癌数据用于确定结果中潜在的社会经济差异。材料和方法:本研究分析了SEER数据库中可用于类癌的社会经济因素,分期和治疗因素。 Kaplan-Meier方法用于分析事件发生时间,而Kolmogorov-Smirnov检验用于比较生存曲线。 Cox比例风险方法用于多变量分析。计算接收器工作特性曲线(ROC)下的面积以筛选预测变量以进行进一步分析。结果:1973年至2009年诊断为该病的38546例患者。平均随访时间(S.D.)为68.1(70.7)个月。 SEER分期是结果的最预测因素(ROC面积为0.79)。 16.4%的患者未分期。在多变量分析中,种族/民族,农村城市居民和县级家庭收入是特定原因生存的重要预测指标,这些因素约占随访20年中精算特定原因生存率差异的5%。结论:这项研究发现了生活在贫困和农村地区的个体类癌的较差的原因存活率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号