Literature DB >> 21058109

Review of draft FDA adaptive design guidance.

Thomas Cook1, David L DeMets.   

Abstract

Recent draft Food and Drug Administration (FDA) guidelines on adaptive clinical trial design and conduct provide a useful background for both academic and industry clinical research leaders. The guidelines help to define the scope of the term "adaptive design" and clarify how adaptive designs can be a critical component of a development program. Adaptive designs are appealing because they hold the promise of conducting trials that can answer the scientific questions of interest with savings of time and resources while exposing fewer subjects to potentially risky therapies. Adaptive designs have been successfully used in clinical trials in all phases of development for many years, enabled by a variety of increasingly flexible and powerful statistical tools. Recent developments that enable adaptations based on emerging treatment differences have demonstrated potential to streamline the research enterprise, but issues remain in their implementation. Proper implementation of adaptive designs requires an adequate understanding of the inherent trade-offs that accompany their use. In exchange for potential efficiencies in resource utilization, adaptive trials suffer from limitations in scientific conclusions, complications and inefficiencies in the statistical analysis, and logistical difficulties relative to fixed sample or fixed duration trials. While scarce resources and ethical imperatives motivate serious consideration of adaptive designs, researchers should be fully aware of the advantages and disadvantages of adaptive designs and adopt them cautiously.

Mesh:

Year:  2010        PMID: 21058109     DOI: 10.1080/10543406.2010.514455

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  8 in total

1.  Improved design of prodromal Alzheimer's disease trials through cohort enrichment and surrogate endpoints.

Authors:  Eric A Macklin; Deborah Blacker; Bradley T Hyman; Rebecca A Betensky
Journal:  J Alzheimers Dis       Date:  2013       Impact factor: 4.472

2.  Adaptive design of confirmatory trials: Advances and challenges.

Authors:  Tze Leung Lai; Philip W Lavori; Ka Wai Tsang
Journal:  Contemp Clin Trials       Date:  2015-06-14       Impact factor: 2.226

3.  Comparing three regularization methods to avoid extreme allocation probability in response-adaptive randomization.

Authors:  Yining Du; John D Cook; J Jack Lee
Journal:  J Biopharm Stat       Date:  2017-03-21       Impact factor: 1.051

Review 4.  Systems pharmacology, pharmacogenetics, and clinical trial design in network medicine.

Authors:  Elliott Antman; Scott Weiss; Joseph Loscalzo
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2012-05-11

Review 5.  Adding a treatment arm to an ongoing clinical trial: a review of methodology and practice.

Authors:  Dena R Cohen; Susan Todd; Walter M Gregory; Julia M Brown
Journal:  Trials       Date:  2015-04-22       Impact factor: 2.279

6.  Missing steps in a staircase: a qualitative study of the perspectives of key stakeholders on the use of adaptive designs in confirmatory trials.

Authors:  Munyaradzi Dimairo; Jonathan Boote; Steven A Julious; Jonathan P Nicholl; Susan Todd
Journal:  Trials       Date:  2015-09-28       Impact factor: 2.279

Review 7.  Adaptive designs undertaken in clinical research: a review of registered clinical trials.

Authors:  Isabella Hatfield; Annabel Allison; Laura Flight; Steven A Julious; Munyaradzi Dimairo
Journal:  Trials       Date:  2016-03-19       Impact factor: 2.279

8.  Development process of a consensus-driven CONSORT extension for randomised trials using an adaptive design.

Authors:  Munyaradzi Dimairo; Elizabeth Coates; Philip Pallmann; Susan Todd; Steven A Julious; Thomas Jaki; James Wason; Adrian P Mander; Christopher J Weir; Franz Koenig; Marc K Walton; Katie Biggs; Jon Nicholl; Toshimitsu Hamasaki; Michael A Proschan; John A Scott; Yuki Ando; Daniel Hind; Douglas G Altman
Journal:  BMC Med       Date:  2018-11-16       Impact factor: 8.775

  8 in total

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