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乳腺癌发病率趋势的变化模式。

Changing patterns in breast cancer incidence trends.

作者信息

Holford Theodore R, Cronin Kathleen A, Mariotto Angela B, Feuer Eric J

机构信息

Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520-8034, USA.

出版信息

J Natl Cancer Inst Monogr. 2006(36):19-25. doi: 10.1093/jncimonographs/lgj016.

Abstract

Incidence rates for breast cancer in U.S. women have steadily increased for decades, but the reasons are not well understood. A recent upturn in these trends suggests that one component may be the effect of more aggressive screening in the population. The age-period-cohort framework, in which the temporal components associated with year of diagnosis and generation are evaluated, can assist in interpreting the elements associated with these trends. A unique approach for exploring other ways of partitioning the contribution of the different temporal components is described and applied to breast cancer incidence data (ICDO 174.0-174.9) from the Surveillance, Epidemiology and End Results (SEER) registries. Single-year intervals for age and year of diagnosis were used to fit models that provide estimates of the trends associated with the individual temporal elements. A log-linear model for age, period, and cohort was fitted using Poisson regression, and estimates of the separate time trends were calculated. The trends with period increased after 1982, when more aggressive screening began, and the trend is steeper for women older than 40 years. Cohort trends have increased steadily, although recent cohorts appear to be somewhat flat for women aged 50 years or younger, whereas the trend for those older than 50 years have continued to increase. Estimates of cohort trends in rates are also provided by extrapolating what would have occurred had there been no period trend before or after 1982, thus providing an estimate of the magnitude of the upturn that occurred after the recent emphasis on screening.

摘要

几十年来,美国女性乳腺癌的发病率一直在稳步上升,但其原因尚未完全明确。这些趋势最近的一次上升表明,其中一个因素可能是人群中更积极的筛查所产生的影响。年龄-时期-队列框架(在该框架中评估与诊断年份和代际相关的时间成分)有助于解读与这些趋势相关的因素。本文描述了一种独特的方法,用于探索划分不同时间成分贡献的其他方式,并将其应用于监测、流行病学和最终结果(SEER)登记处的乳腺癌发病率数据(ICD-O 174.0 - 174.9)。使用年龄和诊断年份的单年间隔来拟合模型,以估计与各个时间元素相关的趋势。使用泊松回归拟合年龄、时期和队列的对数线性模型,并计算单独时间趋势的估计值。1982年开始更积极的筛查后,时期趋势有所增加,且40岁以上女性的趋势更为陡峭。队列趋势稳步上升,尽管最近的队列中50岁及以下女性的趋势似乎有所平缓,而50岁以上女性的趋势仍在继续上升。通过推断1982年之前或之后若没有时期趋势会发生的情况,还提供了发病率队列趋势的估计值,从而估计了近期强调筛查后上升的幅度。

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