实现癌症发病率的实时报告:方法、试点研究和 SEER 计划的实施。

Huann-Sheng Chen, Serban Negoita, Steve Schwartz, Elizabeth Hsu, Jennifer Hafterson, Linda Coyle, Jennifer Stevens, Anna Fernandez, Mary Potts, Eric J Feuer
{"title":"实现癌症发病率的实时报告:方法、试点研究和 SEER 计划的实施。","authors":"Huann-Sheng Chen, Serban Negoita, Steve Schwartz, Elizabeth Hsu, Jennifer Hafterson, Linda Coyle, Jennifer Stevens, Anna Fernandez, Mary Potts, Eric J Feuer","doi":"10.1093/jncimonographs/lgae024","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>A lag time between cancer case diagnosis and incidence reporting impedes the ability to monitor the impact of recent events on cancer incidence. Currently, the data submission standard is 22 months after a diagnosis year ends, and the reporting standard is 27.5 months after a diagnosis year ends. This paper presents the National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) Program's efforts to minimize the lag and achieve \"real-time\" reporting, operationalized as submission within 2 months from the end of a diagnosis year.</p><p><strong>Methods: </strong>Technology for rapidly creating a consolidated tumor case (CTC) from electronic pathology (e-path) reports is described. Statistical methods are extended to adjust for biases in incidence rates due to reporting delays for the most recent diagnosis years.</p><p><strong>Results: </strong>A registry pilot study demonstrated that real-time submissions can approximate rates obtained from 22-month submissions after adjusting for reporting delays. A plan to be implemented across the SEER Program rapidly ascertains unstructured e-path reports and uses machine learning algorithms to translate the reports into the core data items that comprise a CTC for incidence reporting. Across the program, cases were submitted 2 months after the end of the calendar year. Registries with the most promising baseline values and a willingness to modify registry operations have joined a program to become certified as real-time reporting.</p><p><strong>Conclusion: </strong>Advances in electronic reporting, natural language processing, registry operations, and statistical methodology, energized by the SEER Program's mobilization and coordination of these efforts, will make real-time reporting an achievable goal.</p>","PeriodicalId":73988,"journal":{"name":"Journal of the National Cancer Institute. Monographs","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward real-time reporting of cancer incidence: methodology, pilot study, and SEER Program implementation.\",\"authors\":\"Huann-Sheng Chen, Serban Negoita, Steve Schwartz, Elizabeth Hsu, Jennifer Hafterson, Linda Coyle, Jennifer Stevens, Anna Fernandez, Mary Potts, Eric J Feuer\",\"doi\":\"10.1093/jncimonographs/lgae024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>A lag time between cancer case diagnosis and incidence reporting impedes the ability to monitor the impact of recent events on cancer incidence. Currently, the data submission standard is 22 months after a diagnosis year ends, and the reporting standard is 27.5 months after a diagnosis year ends. This paper presents the National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) Program's efforts to minimize the lag and achieve \\\"real-time\\\" reporting, operationalized as submission within 2 months from the end of a diagnosis year.</p><p><strong>Methods: </strong>Technology for rapidly creating a consolidated tumor case (CTC) from electronic pathology (e-path) reports is described. Statistical methods are extended to adjust for biases in incidence rates due to reporting delays for the most recent diagnosis years.</p><p><strong>Results: </strong>A registry pilot study demonstrated that real-time submissions can approximate rates obtained from 22-month submissions after adjusting for reporting delays. A plan to be implemented across the SEER Program rapidly ascertains unstructured e-path reports and uses machine learning algorithms to translate the reports into the core data items that comprise a CTC for incidence reporting. Across the program, cases were submitted 2 months after the end of the calendar year. Registries with the most promising baseline values and a willingness to modify registry operations have joined a program to become certified as real-time reporting.</p><p><strong>Conclusion: </strong>Advances in electronic reporting, natural language processing, registry operations, and statistical methodology, energized by the SEER Program's mobilization and coordination of these efforts, will make real-time reporting an achievable goal.</p>\",\"PeriodicalId\":73988,\"journal\":{\"name\":\"Journal of the National Cancer Institute. Monographs\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the National Cancer Institute. Monographs\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/jncimonographs/lgae024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the National Cancer Institute. Monographs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jncimonographs/lgae024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:癌症病例诊断与发病率报告之间的滞后期阻碍了监测近期事件对癌症发病率影响的能力。目前,数据提交标准为诊断年结束后 22 个月,报告标准为诊断年结束后 27.5 个月。本文介绍了美国国家癌症研究所(NCI)监测、流行病学和最终结果(SEER)项目为尽量减少滞后并实现 "实时 "报告(即在诊断年结束后 2 个月内提交报告)所做的努力:方法:介绍了从电子病理(e-path)报告中快速创建合并肿瘤病例(CTC)的技术。方法:介绍了从电子病理(eath)报告中快速创建综合肿瘤病例(CTC)的技术,并扩展了统计方法,以调整因最近诊断年报告延迟而导致的发病率偏差:一项登记处试点研究表明,在对报告延迟进行调整后,实时提交的报告可以接近从 22 个月提交的报告中获得的发病率。一项将在整个 SEER 计划中实施的计划可快速确定非结构化的电子路径报告,并使用机器学习算法将报告转化为核心数据项,这些数据项构成了用于发病率报告的 CTC。在整个计划中,病例在日历年结束后 2 个月提交。基线值最有希望且愿意修改注册表操作的注册表已加入一项计划,以获得实时报告认证:结论:在 SEER 计划的动员和协调下,电子报告、自然语言处理、登记操作和统计方法的进步将使实时报告成为一个可以实现的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Toward real-time reporting of cancer incidence: methodology, pilot study, and SEER Program implementation.

Background: A lag time between cancer case diagnosis and incidence reporting impedes the ability to monitor the impact of recent events on cancer incidence. Currently, the data submission standard is 22 months after a diagnosis year ends, and the reporting standard is 27.5 months after a diagnosis year ends. This paper presents the National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) Program's efforts to minimize the lag and achieve "real-time" reporting, operationalized as submission within 2 months from the end of a diagnosis year.

Methods: Technology for rapidly creating a consolidated tumor case (CTC) from electronic pathology (e-path) reports is described. Statistical methods are extended to adjust for biases in incidence rates due to reporting delays for the most recent diagnosis years.

Results: A registry pilot study demonstrated that real-time submissions can approximate rates obtained from 22-month submissions after adjusting for reporting delays. A plan to be implemented across the SEER Program rapidly ascertains unstructured e-path reports and uses machine learning algorithms to translate the reports into the core data items that comprise a CTC for incidence reporting. Across the program, cases were submitted 2 months after the end of the calendar year. Registries with the most promising baseline values and a willingness to modify registry operations have joined a program to become certified as real-time reporting.

Conclusion: Advances in electronic reporting, natural language processing, registry operations, and statistical methodology, energized by the SEER Program's mobilization and coordination of these efforts, will make real-time reporting an achievable goal.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.30
自引率
0.00%
发文量
0
期刊最新文献
Correction to: Imaging modalities for measuring body composition in patients with cancer: opportunities and challenges. Correction to: A health equity framework to support the next generation of cancer population simulation models. Data quality in a survey of registered medical cannabis users with cancer: nonresponse and measurement error. Item response theory analysis of benefits and harms of cannabis use in cancer survivors. Overview of cancer patient perspectives on cannabis use during treatment.
×
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