Statistical Methods for Estimation of Benefits & Harms of Repeat Cancer Screening
效益估计的统计方法
基本信息
- 批准号:8636663
- 负责人:
- 金额:$ 8万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-01-01 至 2014-10-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingAddressAdherenceAgeAmericanBenefits and RisksBreastBreast Cancer DetectionBreast Cancer Surveillance ConsortiumCancer DetectionClinical DataCommunicationCommunity PracticeDataData AnalysesDecision MakingDetectionDevelopmentDiseaseEvaluationEventFrequenciesGoalsGuidelinesIncidenceIndividualLinkMalignant NeoplasmsMammographyMarkov ChainsMethodologyMethodsModelingMorbidity - disease rateOutcomePatientsPerformancePolicy MakerPositive Test ResultProbabilityProgram EvaluationProviderPublic HealthRecurrenceRegimenResearchResearch PersonnelResourcesRiskSchemeScreening for cancerSourceStatistical MethodsTest ResultTestingTimeWomanWorkbasecancer riskcancer siteclinical practiceclinically relevantevidence based guidelinesexperienceflexibilitymalignant breast neoplasmmammography registrymodels and simulationmortalityneoplasm registrynovelpublic health relevancescreening
项目摘要
DESCRIPTION (provided by applicant): More than 40% of Americans will develop cancer in their lifetime and approximately 1 in 5 will die of cancer. However, screening can reduce cancer mortality and decrease incidence for some cancers. Identifying effective screening regimens- who should be screened for cancer, how often, and by what method- is key to public health. Most of the data used to make these decisions relate to the performance of individual screening tests. Relatively little research has focused on comparing alternative screening regimens, yet this information is needed to provide evidence for screening guidelines. The overall goal of this research is to develop statistical methods for characterizing harms (false-positive test results and missed cancers) and benefits (screen- detected cancers) after the multiple rounds of screening comprising a regimen in order to facilitate guideline setting and decision making. Our work will address three specific aims: (1) To develop new statistical methods for simultaneously estimating the cumulative risk of harms and benefits of repeat cancer screening; (2) To develop new statistical methods to estimate the expected number of false-positive test results experienced over the course of a screening regimen; (3) To use our newly developed statistical methods to analyze risk- based screening mammography regimens using 15 years of data from the Breast Cancer Surveillance Consortium (BCSC). Unbiased estimation of harms and benefits of repeat breast cancer screening tailored to women's individual breast cancer risk levels previously has not been possible because existing methods fail to account for important features of the observation scheme. Under Aim 3 we will analyze data from the BCSC using statistical methods developed under Aims 1 and 2 and will compare alternative breast cancer screening regimens tailored to women's breast cancer risk profiles. By contributing information about the potential harms and benefits of risk-based breast cancer screening regimens, this work will inform policy-makers and facilitate communication between patients and providers. This will aid both individual decision makers and development of evidence-based guidelines.
描述(由申请人提供):超过40%的美国人将在其一生中患上癌症,大约五分之一的人将死于癌症。然而,筛查可以降低癌症死亡率,降低某些癌症的发病率。确定有效的筛查方案——应该对哪些人进行癌症筛查、筛查的频率和方法——是公共卫生的关键。用于做出这些决定的大多数数据都与个人筛选测试的表现有关。相对较少的研究侧重于比较不同的筛查方案,但需要这些信息为筛查指南提供证据。本研究的总体目标是开发统计方法,在包括方案的多轮筛查之后,描述危害(假阳性检测结果和遗漏的癌症)和益处(筛查检测到的癌症),以促进指南的制定和决策。我们的工作将解决三个具体目标:(1)开发新的统计方法,同时估计重复癌症筛查的累积危害风险和益处;(2)开发新的统计方法来估计在筛查方案过程中所经历的假阳性检测结果的预期数量;(3)利用乳腺癌监测联盟(BCSC) 15年的数据,利用我们新开发的统计方法分析基于风险的乳房x光筛查方案。由于现有方法未能考虑到观察方案的重要特征,因此不可能对针对女性个体乳腺癌风险水平的重复乳腺癌筛查的危害和益处进行无偏估计。在目标3下,我们将使用目标1和目标2下开发的统计方法分析BCSC的数据,并将比较针对女性乳腺癌风险概况的替代乳腺癌筛查方案。通过提供关于基于风险的乳腺癌筛查方案的潜在危害和益处的信息,这项工作将为决策者提供信息,并促进患者和提供者之间的沟通。这将有助于决策者个人和循证指南的制定。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Rebecca Hubbard其他文献
Rebecca Hubbard的其他文献
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{{ truncateString('Rebecca Hubbard', 18)}}的其他基金
Informatics Methods for Leveraging Clinical Data Sources to Study Risk Factors for Alzheimer's Disease
利用临床数据源研究阿尔茨海默病危险因素的信息学方法
- 批准号:
10352791 - 财政年份:2022
- 资助金额:
$ 8万 - 项目类别:
Improving confounder control in EHR-based studies of cancer epidemiology
改善基于 EHR 的癌症流行病学研究中的混杂因素控制
- 批准号:
9894108 - 财政年份:2019
- 资助金额:
$ 8万 - 项目类别:
Statistical Methods for Estimation of Benefits & Harms of Repeat Cancer Screening
效益估计的统计方法
- 批准号:
8966955 - 财政年份:2015
- 资助金额:
$ 8万 - 项目类别:
Estimating the cumulative risk of a false-positive screening mammogram.
估计乳房X光检查假阳性的累积风险。
- 批准号:
7893487 - 财政年份:2010
- 资助金额:
$ 8万 - 项目类别:
Estimating the cumulative risk of a false-positive screening mammogram.
估计乳房X光检查假阳性的累积风险。
- 批准号:
8034829 - 财政年份:2010
- 资助金额:
$ 8万 - 项目类别:
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