Updated CP*Trends: An Online Tool to Compare Cohort and Period Trends across Cancer Sites.

IF 5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH American journal of epidemiology Pub Date : 2024-10-28 DOI:10.1093/aje/kwae398
Theodore R Holford, Huann-Sheng Chen, Michael J Kane, Martin Krapcho, David Annett, Len Esclamado, Asya Melkonyan, Eric J Feuer
{"title":"Updated CP*Trends: An Online Tool to Compare Cohort and Period Trends across Cancer Sites.","authors":"Theodore R Holford, Huann-Sheng Chen, Michael J Kane, Martin Krapcho, David Annett, Len Esclamado, Asya Melkonyan, Eric J Feuer","doi":"10.1093/aje/kwae398","DOIUrl":null,"url":null,"abstract":"<p><p>CP*Trends is a widely used SEER website used to explore temporal effects of period and cohort on cancer incidence and mortality. It provides a graphical display of smoothed rates, and a C-P Score that helps to assess the magnitude of the effect of cohort and period. This update provides results for African Americans and Whites. The C-P Score has an intrinsic bias favoring cohort because there are many more cohorts than periods. An adjusted C-P Score removes some of this advantage. Bootstrap confidence intervals are given, which allow one to see the effects of different sample sizes on the model results. Finally, users may control window size used in the smoothing algorithm, which helps to avoid over smoothing or masking of trends. The method is illustrated using data on cervical cancer incidence trends for African Americans and Whites, 1975-2018. Rates are higher for African Americans, and both races have contributions for cohort. However, the period effect is only strongly evident in Whites. Visual inspection of White trends suggests possible differences for those older and younger than age 50. These methods are applied in an interactive website displaying incidence and mortality trends for over 20 cancer sites in the US.</p>","PeriodicalId":7472,"journal":{"name":"American journal of epidemiology","volume":" ","pages":""},"PeriodicalIF":5.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of epidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/aje/kwae398","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

CP*Trends is a widely used SEER website used to explore temporal effects of period and cohort on cancer incidence and mortality. It provides a graphical display of smoothed rates, and a C-P Score that helps to assess the magnitude of the effect of cohort and period. This update provides results for African Americans and Whites. The C-P Score has an intrinsic bias favoring cohort because there are many more cohorts than periods. An adjusted C-P Score removes some of this advantage. Bootstrap confidence intervals are given, which allow one to see the effects of different sample sizes on the model results. Finally, users may control window size used in the smoothing algorithm, which helps to avoid over smoothing or masking of trends. The method is illustrated using data on cervical cancer incidence trends for African Americans and Whites, 1975-2018. Rates are higher for African Americans, and both races have contributions for cohort. However, the period effect is only strongly evident in Whites. Visual inspection of White trends suggests possible differences for those older and younger than age 50. These methods are applied in an interactive website displaying incidence and mortality trends for over 20 cancer sites in the US.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
更新的 CP*Trends:比较不同癌症部位的队列和时期趋势的在线工具。
CP*Trends 是一个广泛使用的 SEER 网站,用于探讨时期和队列对癌症发病率和死亡率的时间影响。它以图形显示平滑率,并提供 C-P 分数,帮助评估群组和时期的影响程度。本次更新提供了非裔美国人和白人的结果。由于队列比时期多,C-P 分数有偏向队列的内在偏差。调整后的 C-P 分数可以消除这种偏差。我们还给出了 Bootstrap 置信区间,让用户了解不同样本大小对模型结果的影响。最后,用户可以控制平滑算法中使用的窗口大小,这有助于避免过度平滑或掩盖趋势。我们使用 1975-2018 年非裔美国人和白人的宫颈癌发病趋势数据来说明该方法。非裔美国人的发病率较高,两个种族的发病率都有同期效应。然而,只有白人的周期效应非常明显。对白人趋势的目测表明,50 岁以上和 50 岁以下的人群可能存在差异。这些方法被应用到一个互动网站中,该网站显示了美国 20 多种癌症的发病率和死亡率趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
American journal of epidemiology
American journal of epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
7.40
自引率
4.00%
发文量
221
审稿时长
3-6 weeks
期刊介绍: The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research. It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.
期刊最新文献
All-Cause Mortality and 1990-1991 Gulf War Service within the Millennium Cohort Study (2001-2021). Using Double Negative Controls to Adjust for Healthy User Bias in a Recombinant Zoster Vaccine Safety Study. Modern Sources of Controls in Case-Control Studies. Editorial consultants 1. Characterizing state-level structural cisheterosexism trajectories using sequence and cluster analysis, 1996-2016, 50 U.S. states and Washington, D.C., and associations with health status and healthcare outcomes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1