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CP*Trends: An Online Tool for Comparing Cohort and Period Trends Across Cancer Sites

机译:CP * Trends:在线工具用于比较癌症站点中的队列和时期趋势

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摘要

Cohort or period components of trends can provide a rationale for new research or point to clues on the effectiveness of control strategies. Graphical display of trends guides models that quantify the experience of a population. In this paper, a method for smoothing rates by single year of age and year is developed and displayed to show the contributions of period and cohort to trends. The magnitude of the contribution of period and/or cohort in a model for trends may be assessed by the percentage of deviance explained and the relative contributions of cohort (C) and period (P) individually, known as the C-P score. The method is illustrated using Surveillance, Epidemiology, and End Results data (1975–2014) on lung and bronchial cancer mortality in females and prostate and colorectal cancer incidence in males. Smoothed age-period and age-cohort rates provide a useful first step in studies of etiology and the impact of disease control without imposing a restrictive model. We found that, in this data set, cohort predominates for female lung and bronchial cancer and period predominates for male prostate cancer. However, the effects change with age for male colorectal cancer incidence, indicating an age shift in relevant exposures. These methods are applied on an interactive website for both incidence and mortality at over 20 cancer sites in the United States.
机译:趋势的同类或周期成分可以为新研究提供理论依据,也可以为控制策略的有效性提供线索。趋势的图形显示可指导量化人群体验的模型。在本文中,开发并显示了一种按年龄和年份进行平滑率的方法,并显示了周期和同类群组对趋势的贡献。趋势模型中周期和/或同类群组的贡献大小可以通过解释的偏差百分比以及同类群组(C)和周期(P)的相对贡献(称为C-P分数)来评估。使用有关女性肺癌和支气管癌死亡率以及男性前列腺癌和结直肠癌发病率的监测,流行病学和最终结果数据(1975-2014年)对这种方法进行了说明。在不施加限制性模型的情况下,平滑的年龄和年龄组比率为病因学和疾病控制的影响提供了有用的第一步。我们发现,在此数据集中,队列研究主要针对女性肺癌和支气管癌,而时期则主要针对男性前列腺癌。但是,男性结直肠癌发病率的影响随年龄而变化,表明相关暴露的年龄发生了变化。这些方法被应用在交互式网站上,用于在美国的20多个癌症站点上进行发病率和死亡率的研究。

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