Literature DB >> 17080768

Operational challenges in adaptive design implementation.

Paul Gallo1.   

Abstract

Implementation of adaptive clinical trial designs raises challenges with regard to the processes by which accruing trial data is analyzed, reviewed, and acted upon. In line with current monitoring conventions, it should be viewed that inappropriate knowledge of interim results can raise concerns regarding maintaining trial integrity and interpretability of results. Here we discuss issues related to these processes in adaptive trials, and point out distinctions versus other more familiar monitoring situations. One topic involves the composition of the group of individuals who will have access to interim results in order to recommend adaptations. We discuss operational models for data review by this group; one question addressed is whether in adaptive trials a role in this process for a representative of the study sponsor could at times be warranted, and might be justified if adequate protections are in place. Another issue involves whether adaptations made based upon interim data can convey to observers an amount of information about the results, which could rise to a level of concern. We consider whether different types of adaptations might be more or less problematic with regard to this issue, and recommend steps that might be considered to mitigate this concern.

Mesh:

Year:  2006        PMID: 17080768     DOI: 10.1002/pst.221

Source DB:  PubMed          Journal:  Pharm Stat        ISSN: 1539-1604            Impact factor:   1.894


  8 in total

Review 1.  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 2.  The Potential of Adaptive Design in Animal Studies.

Authors:  Arshad Majid; Ok-Nam Bae; Jessica Redgrave; Dawn Teare; Ali Ali; Daniel Zemke
Journal:  Int J Mol Sci       Date:  2015-10-12       Impact factor: 5.923

Review 3.  Sharing interim trial results by the Data Safety Monitoring Board with those responsible for the trial's conduct and progress: a narrative review.

Authors:  Victoria Borg Debono; Lawrence Mbuagbaw; Lehana Thabane
Journal:  Trials       Date:  2017-03-09       Impact factor: 2.279

4.  Adaptive designs in clinical trials: why use them, and how to run and report them.

Authors:  Philip Pallmann; Alun W Bedding; Babak Choodari-Oskooei; Munyaradzi Dimairo; Laura Flight; Lisa V Hampson; Jane Holmes; Adrian P Mander; Lang'o Odondi; Matthew R Sydes; Sofía S Villar; James M S Wason; Christopher J Weir; Graham M Wheeler; Christina Yap; Thomas Jaki
Journal:  BMC Med       Date:  2018-02-28       Impact factor: 8.775

5.  Bayesian adaptive designs for multi-arm trials: an orthopaedic case study.

Authors:  Elizabeth G Ryan; Sarah E Lamb; Esther Williamson; Simon Gates
Journal:  Trials       Date:  2020-01-14       Impact factor: 2.728

6.  Practical guidance for planning resources required to support publicly-funded adaptive clinical trials.

Authors:  James M S Wason; Munyaradzi Dimairo; Katie Biggs; Sarah Bowden; Julia Brown; Laura Flight; Jamie Hall; Thomas Jaki; Rachel Lowe; Philip Pallmann; Mark A Pilling; Claire Snowdon; Matthew R Sydes; Sofía S Villar; Christopher J Weir; Nina Wilson; Christina Yap; Helen Hancock; Rebecca Maier
Journal:  BMC Med       Date:  2022-08-10       Impact factor: 11.150

7.  A Bayesian adaptive design for biomarker trials with linked treatments.

Authors:  James M S Wason; Jean E Abraham; Richard D Baird; Ioannis Gournaris; Anne-Laure Vallier; James D Brenton; Helena M Earl; Adrian P Mander
Journal:  Br J Cancer       Date:  2015-08-11       Impact factor: 7.640

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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