Projects
Effectiveness research with Real World Data to support FDA’s regulatory decision making: A Real World Evidence demonstration project
Funded by FDA
TASKS
We will identify and select a representative set of 30 completed phase 3/4 RCTs relevant to regulatory science.
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We will set up a scalable analytics platform with Medicare and commercial claims databases; we will use RWD to reproduce RCTs and compare findings. We will assess reasons for success and failure to replicate using extensive sensitivity analyses.
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We will convene expert panels and workshops to produce empirically-based recommendations on when it is possible to use RWD successfully and how to best implement such studies.
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IMPACT
The planned replication of selected RCTs using claims databases with standardized high-quality methodology will result in actionable insights on the factors that decide which clinical effectiveness questions can be answered with RWD and if not, describe what the main reasons were. Such findings will lay the groundwork for regulators to gain confidence in their decision making of whether an RCT can be substituted with a RWD study.
Predicting findings of ongoing Phase 4 RCTs with Real World Data analyses: An assessment to support FDA’s regulatory decision making
Funded by FDA
TASKS
We will identify a suitable set of 7 ongoing phase 4 RCTs relevant to regulatory decision making that are assessed as being implementable in a comparable way with healthcare databases
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We will set up a scalable analytics platform with commercial claims databases; we will use RWD to reproduce RCTs and compare findings. We will assess reasons for success and failure to replicate using extensive sensitivity analyses.
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We will convene expert panels to expand existing recommendations with our new prospective empirical evidence, that was blinded towards RCT findings, on a) when it is possible to use RWD analyses successfully, b) how to best implement such studies, and c) what a quality assurance process could look like.
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IMPACT
This project will provide prospective empirical evidence blinded towards RCT findings on when and how RWE will be able to substitute or augment RCTs. It will also provide a structured and tested decision-making process to instill confidence in identifying those RWD analyses that have a high likelihood of providing actionable evidence.
Randomized Cardiovascular Trials Duplicated Using Prospective Longitudinal
Insurance Claims: Applying Techniques of Epidemiology
Funded by NHLBI
AIMS
Prospectively replicate a large sample of published RCTs of cardiovascular outcomes using a variety of designs and analysis methods in RWD.
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Prospectively duplicate ongoing RCTs of cardiovascular outcomes using a variety of potential designs and analysis methods in RWD.
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Adapt meta-analysis methodology to isolate trial characteristics and design and analysis factors contributing to replication success.
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Convene a workshop of trial and RWD experts to discuss findings, develop guidance, and determine additional evidence needs.
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IMPACT
This project focuses on replication of RCTs of cardiovascular outcomes that are not part of a regulatory approval submission, including trials funded by NIH, and trials of cardiovascular safety. It will further broaden the set of designs and analyses implemented in each replication to explore how RWD findings are impacted by these choices. In addition, as part of this project, we will develop methodology for evaluating the agreement between RCT and RWD findings as a function of trial characteristics and design and analysis factors.
Other Prospective Replications
We are prospectively replicating several ongoing randomized trials to determine if RCT results can be predicted prior to the release of findings. We provide links to papers describing the trials and the corresponding RWD study if completed.