Rosenberg Marjorie A
School of Business and Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA.
J Natl Cancer Inst Monogr. 2006(36):15-9. doi: 10.1093/jncimonographs/lgj004.
Simulation models analyzing the impact of treatment interventions and screening on the level of breast cancer mortality require an input of mortality from causes other than breast cancer, or competing risks.
This chapter presents an actuarial method of creating cohort life tables using published data that removes breast cancer as a cause of death.
Mortality from causes other than breast cancer as a percentage of all-cause mortality is smallest for women in their forties and fifties, as small as 85% of the all-cause rate, although the level and percentage of the impact varies by birth cohort.
This method produces life tables by birth cohort and by age that are easily included as a common input by the various CISNET modeling groups to predict mortality from other causes. Attention to removing breast cancer mortality from all-cause mortality is worthwhile, because breast cancer mortality can be as high as 15% at some ages.
分析治疗干预措施和筛查对乳腺癌死亡率影响的模拟模型需要输入除乳腺癌之外其他原因导致的死亡率，即竞争风险。
本章介绍一种使用已发表数据创建队列生命表的精算方法，该方法将乳腺癌排除在死因之外。
四十多岁和五十多岁女性中，除乳腺癌外其他原因导致的死亡率占全因死亡率的百分比最小，低至全因死亡率的85%，不过其影响水平和百分比因出生队列而异。
该方法按出生队列和年龄生成生命表，各CISNET建模组可轻松将其作为通用输入，以预测其他原因导致的死亡率。值得注意的是，要从全因死亡率中去除乳腺癌死亡率，因为在某些年龄段乳腺癌死亡率可能高达15%。
