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在随访信息有限的筛查发现的乳腺癌患者中估计预期寿命及相关概率。

Estimating life expectancy and related probabilities in screen-detected breast cancer patients with restricted follow-up information.

作者信息

Straatman Huub, Verbeek André L M, Peer Petronella G M, Borm George

机构信息

Department of Epidemiology and Biostatistics, University of Nijmegen, Nijmegen, The Netherlands.

出版信息

Stat Med. 2004 Feb 15;23(3):431-48. doi: 10.1002/sim.1539.

Abstract

Issues such as life expectancy after diagnosis, the number of life years gained by early diagnosis through screening, the probability of dying from breast cancer or of dying from other causes during the lead time period or thereafter can be derived from information on complete survival after diagnosis. A method is presented to estimate complete survival and relevant outcomes after diagnosis of screen-detected cancer when the follow-up period is substantially shorter than the maximum follow-up possible. Survival after diagnosis until death from breast cancer is modelled as the sum of the lead time (LT) and the post-lead time (PLT), where both time periods follow exponential distributions and are assumed to be independent. The survival period after diagnosis until death from causes other than breast cancer (X) is assumed to follow a Gompertz distribution. The survival period after diagnosis until death from any cause (Z) is modelled as the minimum of LT+PLT and X. Maximum likelihood methods were then used to estimate all parameters of Z. This procedure for obtaining maximum likelihood estimates of Z does not need the cause of death (breast cancer or other), which is an advantage over most other methods. Especially in older patients, it may be difficult or even impossible to ascertain the true cause of death. The model was applied to data from the long-term breast cancer screening programme in Nijmegen, the Netherlands. Complete survival was estimated on the basis of survival data on 528 screen-detected breast cancer patients, diagnosed in 1975-1997 and with a mean follow-up of 8.9 years. Estimated life expectancy ranged between 22.3 and 9.0 years for patients diagnosed at the age of 50 and 79 years, respectively, that is, 6.1 and 0.7 life years gained by screening. Through early diagnosis and treatment, screen-detected patients diagnosed at the age of 50 years may have reduced their lifetime risk of dying from breast cancer from 79 per cent to 56 per cent; at the age of 79 the reduction of risk is reduced from 23 per cent to 13 per cent.

摘要

诸如诊断后的预期寿命、通过筛查早期诊断所获得的生命年数、在提前期或之后死于乳腺癌或死于其他原因的概率等问题,可以从诊断后完整生存信息中得出。本文提出了一种方法,用于在随访期远短于可能的最大随访期时,估计筛查发现癌症诊断后的完整生存情况及相关结果。诊断后直至死于乳腺癌的生存情况被建模为提前期(LT)和提前期后(PLT)之和,其中这两个时间段均服从指数分布且假定相互独立。诊断后直至死于乳腺癌以外原因(X)的生存时间段假定服从冈珀茨分布。诊断后直至死于任何原因(Z)的生存时间段被建模为LT + PLT和X中的最小值。然后使用最大似然法估计Z的所有参数。这种获得Z的最大似然估计的方法不需要知道死亡原因(乳腺癌或其他),这是相对于大多数其他方法的一个优势。特别是在老年患者中,可能难以甚至无法确定真正的死亡原因。该模型应用于荷兰奈梅亨长期乳腺癌筛查项目的数据。根据1975 - 1997年诊断出的528例筛查发现的乳腺癌患者的生存数据估计完整生存情况,平均随访时间为8.9年。分别对50岁和79岁诊断出的患者估计预期寿命,范围在22.3年至9.0年之间,即通过筛查分别获得了6.1个和0.7个生命年。通过早期诊断和治疗,50岁诊断出的筛查发现患者可能将其死于乳腺癌的终身风险从79%降至56%;79岁时风险降低从23%降至13%。

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