Yu Binbing, Tiwari Ram C, Cronin Kathleen A, McDonald Chris, Feuer Eric J
Information Management Services, Inc., 12501 Prosperity Dr. Suite 200, Silver Spring, MD 20904, USA.
Comput Methods Programs Biomed. 2005 Dec;80(3):195-203. doi: 10.1016/j.cmpb.2005.08.002. Epub 2005 Oct 27.
Patient survival is one of the most important measures of cancer patient care (the diagnosis and treatment of cancer). The optimal method for monitoring the progress of patient care across the full spectrum of provider settings is through the population-based study of cancer patient survival, which is only possible using data collected by population-based cancer registries. The probability of cure, "statistical cure", is defined for a cohort of cancer patients as the percent of patients whose annual death rate equals the death rate of general cancer-free population. Mixture cure models have been widely used to model failure time data. The models provide simultaneous estimates of the proportion of the patients cured from cancer and the distribution of the failure times for the uncured patients (latency distribution). CANSURV (CAN-cer SURVival) is a Windows software fitting both the standard survival models and the cure models to population-based cancer survival data. CANSURV can analyze both cause-specific survival data and, especially, relative survival data, which is the standard measure of net survival in population-based cancer studies. It can also fit parametric (cure) survival models to the individual data. The program is available at . The colorectal cancer survival data from the Surveillance, Epidemiology and End Results (SEER) program [Surveillance, Epidemiology and End Results Program, The Portable Survival System/Mainframe Survival System, National Cancer Institute, Bethesda, 1999.] of the National Cancer Institute, NIH is used to demonstrate the use of CANSURV program.
患者生存率是癌症患者护理(癌症的诊断和治疗)最重要的衡量指标之一。监测各类医疗机构中患者护理进展的最佳方法是通过基于人群的癌症患者生存率研究,而这只有使用基于人群的癌症登记处收集的数据才有可能实现。治愈概率,即“统计治愈”,对于一组癌症患者而言,定义为年死亡率等于一般无癌人群死亡率的患者百分比。混合治愈模型已被广泛用于对失效时间数据进行建模。这些模型可同时估计从癌症中治愈的患者比例以及未治愈患者的失效时间分布(潜伏期分布)。CANSURV(癌症生存率)是一款适用于基于人群的癌症生存数据的Windows软件,它既能拟合标准生存模型,也能拟合治愈模型。CANSURV既能分析特定病因的生存数据,特别是相对生存数据,而相对生存数据是基于人群的癌症研究中净生存的标准衡量指标。它还能将参数化(治愈)生存模型拟合到个体数据。该程序可在[具体网址]获取。美国国立卫生研究院(NIH)国家癌症研究所的监测、流行病学和最终结果(SEER)项目[监测、流行病学和最终结果项目,便携式生存系统/大型机生存系统,国家癌症研究所,贝塞斯达,1999年]中的结直肠癌生存数据用于演示CANSURV程序的使用。