Literature DB >> 31541454

Nonrandomized Real-World Evidence to Support Regulatory Decision Making: Process for a Randomized Trial Replication Project.

Jessica M Franklin1, Ajinkya Pawar1, David Martin2, Robert J Glynn1, Mark Levenson3, Robert Temple4, Sebastian Schneeweiss1.   

Abstract

Recent legislation mandates that the US Food and Drug Administration issue guidance regarding when real-world evidence (RWE) could be used to support regulatory decision making. Although RWE could come from randomized or nonrandomized designs, there are significant concerns about the validity of RWE assessing medication effectiveness based on nonrandomized designs. We propose an initiative using healthcare claims data to assess the ability of nonrandomized RWE to provide results that are comparable with those from randomized controlled trials (RCTs). We selected 40 RCTs, and we estimate that approximately 30 attempted replications will be completed after feasibility analyses. We designed an implementation process to ensure that each attempted replication is consistent, transparent, and reproducible. This initiative is the first to systematically evaluate the ability of nonrandomized RWE to replicate multiple RCTs using a structured process. Results from this study should provide insight on the strengths and limitations of using nonrandomized RWE from claims for regulatory decision making.
© 2019 The Authors Clinical Pharmacology & Therapeutics © 2019 American Society for Clinical Pharmacology and Therapeutics.

Year:  2019        PMID: 31541454     DOI: 10.1002/cpt.1633

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  23 in total

Review 1.  Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review.

Authors:  James R Rogers; Junghwan Lee; Ziheng Zhou; Ying Kuen Cheung; George Hripcsak; Chunhua Weng
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

2.  Emulation Differences vs. Biases When Calibrating Real-World Evidence Findings Against Randomized Controlled Trials.

Authors:  Jessica M Franklin; Robert J Glynn; Samy Suissa; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2020-02-12       Impact factor: 6.875

Review 3.  Digital Health COVID-19 Impact Assessment: Lessons Learned and Compelling Needs.

Authors:  Peter Lee; Amy Abernethy; David Shaywitz; Adi V Gundlapalli; Jim Weinstein; P Murali Doraiswamy; Kevin Schulman; Subha Madhavan
Journal:  NAM Perspect       Date:  2022-01-18

Review 4.  A Review of Causal Inference for External Comparator Arm Studies.

Authors:  Gerd Rippin; Nicolás Ballarini; Héctor Sanz; Joan Largent; Chantal Quinten; Francesco Pignatti
Journal:  Drug Saf       Date:  2022-07-27       Impact factor: 5.228

5.  Oncology Drug Effectiveness from Electronic Health Record Data Calibrated Against RCT Evidence: The PARSIFAL Trial Emulation.

Authors:  David Merola; Jessica Young; Deborah Schrag; Kueiyu Joshua Lin; Nicholas Robert; Sebastian Schneeweiss
Journal:  Clin Epidemiol       Date:  2022-10-10       Impact factor: 5.814

6.  Regulatory-grade clinical trial design using real-world data.

Authors:  Mark S Levenson
Journal:  Clin Trials       Date:  2020-02-17       Impact factor: 2.486

7.  Emulating Randomized Clinical Trials With Nonrandomized Real-World Evidence Studies: First Results From the RCT DUPLICATE Initiative.

Authors:  Jessica M Franklin; Elisabetta Patorno; Rishi J Desai; Robert J Glynn; David Martin; Kenneth Quinto; Ajinkya Pawar; Lily G Bessette; Hemin Lee; Elizabeth M Garry; Nileesa Gautam; Sebastian Schneeweiss
Journal:  Circulation       Date:  2020-12-17       Impact factor: 29.690

8.  Contextualizing single-arm trials with real-world data: An emulated target trial comparing therapies for neovascular age-related macular degeneration.

Authors:  Darren S Thomas; Aaron Y Lee; Philipp L Müller; Roy Schwartz; Abraham Olvera-Barrios; Alasdair N Warwick; Praven J Patel; Tjebo F C Heeren; Catherine Egan; Paul Taylor; Adnan Tufail
Journal:  Clin Transl Sci       Date:  2021-03-02       Impact factor: 4.689

9.  Overcoming Regulatory Aversion to Novel Methods of Evidence Generation.

Authors:  Elodie Baumfeld Andre; Peter K Honig
Journal:  Clin Pharmacol Ther       Date:  2019-11-30       Impact factor: 6.875

10.  Bias Implications of Outcome Misclassification in Observational Studies Evaluating Association Between Treatments and All-Cause or Cardiovascular Mortality Using Administrative Claims.

Authors:  Rishi J Desai; Raisa Levin; Kueiyu Joshua Lin; Elisabetta Patorno
Journal:  J Am Heart Assoc       Date:  2020-08-26       Impact factor: 5.501

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