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Use of Surveillance Epidemiology and End Results-Medicare Data to Conduct Case-Control Studies of Cancer Among the US Elderly

机译:使用监视流行病学和最终结果医疗保险数据在美国老年人中进行癌症病例对照研究

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摘要

Cancer is an important cause of morbidity in the elderly, and many medical conditions and treatments influence cancer risk. The Surveillance, Epidemiology, and End Results (SEER)-Medicare database can be used to conduct population-based case-control studies that elucidate the etiology of cancer among the US elderly. SEER-Medicare links data on malignancies ascertained through SEER cancer registries to claims from Medicare, the US government insurance program for people over age 65 years. Under one approach described herein, elderly cancer cases are ascertained from SEER data (1987–2005). Matched controls are selected from a 5% random sample of Medicare beneficiaries. Risk factors of interest, including medical conditions and procedures, are identified by using linked Medicare claims. Strengths of this design include the ready availability of data, representative sampling from the US elderly population, and large sample size (e.g., under one scenario: 1,176,950 cases, including 221,389 prostate cancers, 185,853 lung cancers, 138,041 breast cancers, and 124,442 colorectal cancers; and 100,000 control subjects). Limitations reflect challenges in exposure assessment related to Medicare claims: restricted range of evaluable risk factors, short time before diagnosis/selection for ascertainment, and inaccuracies in claims. With awareness of limitations, investigators have in SEER-Medicare data a valuable resource for epidemiologic research on cancer etiology.
机译:癌症是老年人发病的重要原因,许多医学状况和治疗方法都会影响癌症风险。监视,流行病学和最终结果(SEER)-医疗保险数据库可用于进行基于人群的病例对照研究,阐明美国老年人癌症的病因。 SEER-Medicare将通过SEER癌症登记处确定的恶性肿瘤数据与美国政府针对65岁以上人群的保险计划Medicare的索赔进行关联。根据本文所述的一种方法,根据SEER数据(1987-2005)确定了老年癌症病例。从5%的Medicare受益人随机样本中选择匹配的对照。使用链接的Medicare索赔可以确定包括医疗条件和程序在内的相关风险因素。这种设计的优势包括可随时使用的数据,来自美国老年人的代表性样本以及大样本量(例如,在一种情况下:1,176,950例,包括221,389例前列腺癌,185,853例肺癌,138,041例乳腺癌和124,442例结直肠癌) ;以及100,000个对照对象)。局限性反映出与Medicare索赔相关的暴露评估面临的挑战:可评估的风险因素范围有限,诊断/选择确定的时间很短以及索赔不准确。意识到局限性之后,研究人员在SEER-Medicare数据中获得了用于癌症病因流行病学研究的宝贵资源。

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