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Estimating the prevalence of hematological malignancies and precursor conditions using data from Haematological Malignancy Research Network (HMRN)

机译:使用血液恶性肿瘤研究网络(HMRN)的数据估算血液恶性肿瘤和前体疾病的患病率

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摘要

Well-established cancer registries that routinely link to death registrations can estimate prevalence directly by counting patients alive at a particular point in time (observed prevalence). Such direct methods can only provide prevalence for the years over which the registry has been operational. Time-defined estimates, including 5- and 10-year prevalence, may however underestimate the total cancer burden, and compared with other cancers, there is a lack of accurate information on the total prevalence of hematological malignancy subtypes. Accordingly, we aimed to estimate prevalence (observed and total prevalence) of hematological malignancies and precursor conditions by clinically meaningful subtypes using data from the UK's specialist population-based register, the Haematological Malignancy Research Network
机译:定期与死亡登记相关联的完善的癌症登记簿可以通过对在特定时间点存活的患者进行计数来直接估计患病率(观察到的患病率)。此类直接方法只能在注册管理机构已运营的年份中盛行。但是,包括5年和10年患病率在内的按时间定义的估计值可能会低估总的癌症负担,并且与其他癌症相比,缺乏关于血液系统恶性亚型总患病率的准确信息。因此,我们的目标是使用具有临床意义的亚型,使用英国专业的基于人口的登记册(血液恶性研究网络)的数据,估算血液恶性肿瘤的患病率(观察和总患病率)

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