Cronin Kathleen A, Yu Binbing, Krapcho Martin, Miglioretti Diana L, Fay Michael P, Izmirlian Grant, Ballard-Barbash Rachel, Geller Berta M, Feuer Eric J
Statistical Research and Applications Branch, Division of Cancer Control and Population Sciences, Applied Research Branch, National Cancer Institute/NIH, MSC 8317, Suite 504, 6116 Executive Boulevard, Bethesda, MD 20892-7359, USA.
Cancer Causes Control. 2005 Aug;16(6):701-12. doi: 10.1007/s10552-005-0693-8.
This paper presents a methodology for piecing together disparate data sources to obtain a comprehensive model for the use of mammography screening in the US population for the years 1975-2000.
Two aspects of mammography usage, the age that a woman receives her first mammography and the interval between subsequent mammograms, are modeled separately. The initial dissemination of mammography is based on cross-sectional self report data from national surveys and the interval length between screening exams is fit using longitudinal mammography registry data.
The two aspects of mammography usage are combined to simulate screening histories for individual women that are representative of the US population. Simulated mammography patterns for the years 1994-2000 were found to be similar to observed screening patterns from the state level mammography registry for Vermont.
The model presented gives insight into screening practices over time and provides an alternative public health measure for screening usage in the US population. The comprehensive description of mammography use from its introduction represents an important first step to understanding the impact of mammography on breast cancer incidence and mortality.
本文介绍了一种方法,用于整合不同的数据源,以获得1975 - 2000年美国人群中使用乳腺X线筛查的综合模型。
乳腺X线检查使用情况的两个方面,即女性首次接受乳腺X线检查的年龄以及后续乳腺X线检查之间的间隔时间,分别进行建模。乳腺X线检查的初步推广基于全国调查的横断面自我报告数据,而筛查检查之间的间隔长度则使用纵向乳腺X线登记数据进行拟合。
将乳腺X线检查使用情况的两个方面结合起来,模拟出代表美国人群的个体女性的筛查历史。发现1994 - 2000年的模拟乳腺X线检查模式与佛蒙特州州级乳腺X线登记处观察到的筛查模式相似。
所提出的模型有助于深入了解随时间推移的筛查实践,并为美国人群的筛查使用提供了一种替代性的公共卫生措施。从乳腺X线检查引入时起对其使用情况进行的全面描述,是理解乳腺X线检查对乳腺癌发病率和死亡率影响的重要第一步。