Randomized Cardiovascular Trials Duplicated Using Prospective Longitudinal Insurance Claims: Applying Techniques of Epidemiology (RCT DUPLICATE)
使用前瞻性纵向保险索赔重复的随机心血管试验:应用流行病学技术(RCT DUPLICATE)
基本信息
- 批准号:10606588
- 负责人:
- 金额:$ 71.34万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-04-01 至 2024-03-31
- 项目状态:已结题
- 来源:
- 关键词:Cardiovascular systemCharacteristicsClinicalDataDatabasesDecision MakingDrug ApprovalEducational workshopEpidemiologic MethodsEvaluationExclusion CriteriaFactor AnalysisFutureHealthHealthcareIndividualInternetKnowledgeLeadMeasuresMeta-AnalysisMethodologyMethodsModelingObservational StudyOutcomePatientsPerformancePharmaceutical PreparationsPopulationProviderPublic HealthPublishingRandomizedRandomized, Controlled TrialsReportingResearchResearch DesignResearch PersonnelReview LiteratureSamplingSavingsVariantWorkWorld Healthanalytical methodcostdesignhealth dataimprovedinnovationinsightinsurance claimspatient populationprospectiverandomized trialsearchable databasesuccesstreatment comparisontreatment effectunethical
项目摘要
Project Abstract
Randomized controlled trials (RCTs) remain the gold standard for establishing the causal relationship between
medications and health outcomes. However, for some clinical questions RCTs may be infeasible, unethical,
costly, or generalizable to only a very narrow population. In these cases, observational studies from routinely
collected “real-world” health data (RWD) are crucial for supplementing the evidence from RCTs. RWD is
particularly useful in the context of cardiovascular outcomes, which are typically well-captured in healthcare
databases, but concern about the validity of RWD studies mitigate their impact. The purpose of this project is
to empirically evaluate the validity of RWD studies by conducting a systematic replication of a large sample of
randomized trials of cardiovascular outcomes, including both completed trials with results already available and
ongoing trials where results are not yet released, in order to ensure that validity is not influenced by the
availability of trial results. RWD studies are designed to match the corresponding RCT as closely as possible,
including exposures, outcomes, and inclusion/exclusion criteria, and RWD studies utilize a variety of design
and analysis approaches in order to provide guidance on which questions can be answered in RWD and with
which methods. As part of this project, a new meta-analysis model will be developed to model the variation in
treatment effect estimates between RCTs and RWD, combining data across RWD methodologic approaches
and across clinical questions. All treatment effect estimates for all studies, including both RCT and RWD
results, will be reported online, and the results of ongoing RCTs will be added as they become available. This
project is the first to evaluate the validity of RWD studies of cardiovascular outcomes based on empirical
performance in a large sample of clinical questions across a wide variety of epidemiologic and analytical
methods. Findings will guide investigators planning RWD studies of cardiovascular outcomes and increase
confidence in the ability of RWD studies to answer questions of importance to patients, providers, and other
stakeholders.
项目摘要
随机对照试验(RCT)仍然是确定两者之间因果关系的金标准
药物和健康结果。然而,对于一些临床问题,RCT可能是不可行的,不道德的,
成本高昂,或者只能推广到非常有限的人群。在这些情况下,常规的观察性研究
收集的“真实世界”健康数据(RWD)对于补充来自随机对照试验的证据至关重要。RWD是
在心血管结果方面特别有用,这通常在医疗保健中被很好地捕捉到
数据库,但对RWD研究有效性的担忧减轻了它们的影响。这个项目的目的是
通过对以下大样本进行系统复制,对RWD研究的有效性进行经验性评估
心血管结局的随机试验,包括已有结果的已完成试验和
正在进行的尚未公布结果的试验,以确保有效性不受
试验结果的可用性。RWD研究旨在尽可能地与相应的RCT相匹配,
包括暴露、结果和纳入/排除标准,RWD研究使用了各种设计
和分析方法,以便提供指导,说明哪些问题可以在RWD和
用什么方法。作为该项目的一部分,将开发一种新的荟萃分析模型来模拟
RCT和RWD之间的治疗效果评估,结合RWD方法学方法的数据
以及各种临床问题。所有研究的所有治疗效果评估,包括随机对照试验和随机对照试验
结果,将在网上报告,正在进行的随机对照试验的结果将在可用时添加。这
该项目是第一个评估基于经验的RWD心血管结果研究的有效性的项目
在大样本临床问题上的表现,涉及广泛的流行病学和分析
方法:研究方法。研究结果将指导研究人员计划对心血管结果进行RWD研究并增加
对RWD研究回答对患者、提供者和其他人重要问题的能力的信心
利益相关者。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
When Can Nonrandomized Studies Support Valid Inference Regarding Effectiveness or Safety of New Medical Treatments?
- DOI:10.1002/cpt.2255
- 发表时间:2022-01
- 期刊:
- 影响因子:6.7
- 作者:
- 通讯作者:
Real-World Evidence Prediction of a Phase IV Oncology Trial: Comparative Degarelix vs Leuprolide Safety.
- DOI:10.1093/jncics/pkac049
- 发表时间:2022-08-10
- 期刊:
- 影响因子:4.4
- 作者:
- 通讯作者:
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Sebastian G. Schneeweiss其他文献
Sebastian G. Schneeweiss的其他文献
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{{ truncateString('Sebastian G. Schneeweiss', 18)}}的其他基金
New approaches to safety monitoring of novel systemic treatments for atopic dermatitis in clinical practice and underrepresented populations
在临床实践和代表性不足的人群中对特应性皮炎的新型全身治疗进行安全监测的新方法
- 批准号:
10339592 - 财政年份:2022
- 资助金额:
$ 71.34万 - 项目类别:
New approaches to safety monitoring of novel systemic treatments for atopic dermatitis in clinical practice and underrepresented populations
在临床实践和代表性不足的人群中对特应性皮炎的新型全身治疗进行安全监测的新方法
- 批准号:
10559698 - 财政年份:2022
- 资助金额:
$ 71.34万 - 项目类别:
Randomized Cardiovascular Trials Duplicated Using Prospective Longitudinal Insurance Claims: Applying Techniques of Epidemiology (RCT DUPLICATE)
使用前瞻性纵向保险索赔重复的随机心血管试验:应用流行病学技术(RCT DUPLICATE)
- 批准号:
9898456 - 财政年份:2019
- 资助金额:
$ 71.34万 - 项目类别:
Randomized Cardiovascular Trials Duplicated Using Prospective Longitudinal Insurance Claims: Applying Techniques of Epidemiology (RCT DUPLICATE)
使用前瞻性纵向保险索赔重复的随机心血管试验:应用流行病学技术(RCT DUPLICATE)
- 批准号:
10392863 - 财政年份:2019
- 资助金额:
$ 71.34万 - 项目类别:
Assessment of Treatment Effects in High-Dimensional, Routine Care Claims Data
高维常规护理索赔数据中的治疗效果评估
- 批准号:
8037863 - 财政年份:2010
- 资助金额:
$ 71.34万 - 项目类别:
Analyzing Complex Healthcare Data to Determine Causality of Observed Drug Effects
分析复杂的医疗数据以确定观察到的药物作用的因果关系
- 批准号:
8143550 - 财政年份:2009
- 资助金额:
$ 71.34万 - 项目类别:
Antidepressant Use and Suicidality: Comparative Safety in Children and Adults
抗抑郁药的使用和自杀:儿童和成人的相对安全性
- 批准号:
7929307 - 财政年份:2009
- 资助金额:
$ 71.34万 - 项目类别:
Analyzing Complex Healthcare Data to Determine Causality of Observed Drug Effects
分析复杂的医疗数据以确定观察到的药物作用的因果关系
- 批准号:
7940855 - 财政年份:2009
- 资助金额:
$ 71.34万 - 项目类别:
Analyzing Complex Healthcare Data to Determine Causality of Observed Drug Effects
分析复杂的医疗数据以确定观察到的药物作用的因果关系
- 批准号:
7767483 - 财政年份:2009
- 资助金额:
$ 71.34万 - 项目类别:
Effectiveness studies with securely pooled healthcare data and adjusted analyses
通过安全汇总的医疗数据和调整后的分析进行有效性研究
- 批准号:
7938849 - 财政年份:2009
- 资助金额:
$ 71.34万 - 项目类别:
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