Literature DB >> 22424650

An overview of the adaptive designs accelerating promising trials into treatments (ADAPT-IT) project.

William J Meurer1, Roger J Lewis, Danilo Tagle, Michael D Fetters, Laurie Legocki, Scott Berry, Jason Connor, Valerie Durkalski, Jordan Elm, Wenle Zhao, Shirley Frederiksen, Robert Silbergleit, Yuko Palesch, Donald A Berry, William G Barsan.   

Abstract

Randomized clinical trials, which aim to determine the efficacy and safety of drugs and medical devices, are a complex enterprise with myriad challenges, stakeholders, and traditions. Although the primary goal is scientific discovery, clinical trials must also fulfill regulatory, clinical, and ethical requirements. Innovations in clinical trials methodology have the potential to improve the quality of knowledge gained from trials, the protection of human subjects, and the efficiency of clinical research. Adaptive clinical trial methods represent a broad category of innovations intended to address a variety of long-standing challenges faced by investigators, such as sensitivity to previous assumptions and delayed identification of ineffective treatments. The implementation of adaptive clinical trial methods, however, requires greater planning and simulation compared with a more traditional design, along with more advanced administrative infrastructure for trial execution. The value of adaptive clinical trial methods in exploratory phase (phase 2) clinical research is generally well accepted, but the potential value and challenges of applying adaptive clinical trial methods in large confirmatory phase clinical trials are relatively unexplored, particularly in the academic setting. In the Adaptive Designs Accelerating Promising Trials Into Treatments (ADAPT-IT) project, a multidisciplinary team is studying how adaptive clinical trial methods could be implemented in planning actual confirmatory phase trials in an established, National Institutes of Health-funded clinical trials network. The overarching objectives of ADAPT-IT are to identify and quantitatively characterize the adaptive clinical trial methods of greatest potential value in confirmatory phase clinical trials and to elicit and understand the enthusiasms and concerns of key stakeholders that influence their willingness to try these innovative strategies.
Copyright © 2012. Published by Mosby, Inc.

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Year:  2012        PMID: 22424650      PMCID: PMC3557826          DOI: 10.1016/j.annemergmed.2012.01.020

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  20 in total

1.  The price of innovation: new estimates of drug development costs.

Authors:  Joseph A DiMasi; Ronald W Hansen; Henry G Grabowski
Journal:  J Health Econ       Date:  2003-03       Impact factor: 3.883

2.  Guidelines for the early management of patients with ischemic stroke: 2005 guidelines update a scientific statement from the Stroke Council of the American Heart Association/American Stroke Association.

Authors:  Harold Adams; Robert Adams; Gregory Del Zoppo; Larry B Goldstein
Journal:  Stroke       Date:  2005-04       Impact factor: 7.914

3.  The past is the future: innovative designs in acute stroke therapy trials.

Authors:  Michael Krams; Kennedy R Lees; Donald A Berry
Journal:  Stroke       Date:  2005-05-05       Impact factor: 7.914

4.  Survey of emergency physicians about recombinant tissue plasminogen activator for acute ischemic stroke.

Authors:  Devin L Brown; William G Barsan; Lynda D Lisabeth; Michael E Gallery; Lewis B Morgenstern
Journal:  Ann Emerg Med       Date:  2005-07       Impact factor: 5.721

5.  Extraordinary claims require extraordinary evidence.

Authors:  Donald W Light; Rebecca N Warburton
Journal:  J Health Econ       Date:  2005-09       Impact factor: 3.883

6.  Adaptive designs in clinical drug development--an Executive Summary of the PhRMA Working Group.

Authors:  Paul Gallo; Christy Chuang-Stein; Vladimir Dragalin; Brenda Gaydos; Michael Krams; José Pinheiro
Journal:  J Biopharm Stat       Date:  2006-05       Impact factor: 1.051

7.  A regulatory view on adaptive/flexible clinical trial design.

Authors:  H M James Hung; Robert T O'Neill; Sue-Jane Wang; John Lawrence
Journal:  Biom J       Date:  2006-08       Impact factor: 2.207

8.  Bayesian adaptive clinical trials: a dream for statisticians only?

Authors:  Sylvie Chevret
Journal:  Stat Med       Date:  2011-09-09       Impact factor: 2.373

9.  Bayesian predictions of final outcomes: regulatory approval of a spinal implant.

Authors:  Bailey Lipscomb; Guorong Ma; Donald A Berry
Journal:  Clin Trials       Date:  2005       Impact factor: 2.486

Review 10.  Bayesian clinical trials.

Authors:  Donald A Berry
Journal:  Nat Rev Drug Discov       Date:  2006-01       Impact factor: 84.694

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  25 in total

1.  Reflections on the Adaptive Designs Accelerating Promising Trials Into Treatments (ADAPT-IT) Process-Findings from a Qualitative Study.

Authors:  Timothy C Guetterman; Michael D Fetters; Laurie J Legocki; Samkeliso Mawocha; William G Barsan; Roger J Lewis; Donald A Berry; William J Meurer
Journal:  Clin Res Regul Aff       Date:  2015-09-18

2.  Managing Hypothermia in Cardiac Arrest and Rewarming.

Authors:  Moderator Justin Lundbye; Participants Eric James Zoog; Robert Silbergleit; Josh M Levine
Journal:  Ther Hypothermia Temp Manag       Date:  2013-12-01       Impact factor: 1.286

Review 3.  Biomarker-based adaptive trials for patients with glioblastoma--lessons from I-SPY 2.

Authors:  Brian M Alexander; Patrick Y Wen; Lorenzo Trippa; David A Reardon; Wai-Kwan Alfred Yung; Giovanni Parmigiani; Donald A Berry
Journal:  Neuro Oncol       Date:  2013-07-14       Impact factor: 12.300

4.  Achieving integration in mixed methods designs-principles and practices.

Authors:  Michael D Fetters; Leslie A Curry; John W Creswell
Journal:  Health Serv Res       Date:  2013-10-23       Impact factor: 3.402

5.  Managing competing demands in the implementation of response-adaptive randomization in a large multicenter phase III acute stroke trial.

Authors:  Wenle Zhao; Valerie Durkalski
Journal:  Stat Med       Date:  2014-05-22       Impact factor: 2.373

6.  A surrogate-primary replacement algorithm for response-adaptive randomization in stroke clinical trials.

Authors:  Amy S Nowacki; Wenle Zhao; Yuko Y Palesch
Journal:  Stat Methods Med Res       Date:  2015-01-12       Impact factor: 3.021

Review 7.  Adaptive trial designs for spinal cord injury clinical trials directed to the central nervous system.

Authors:  James D Guest; John D Steeves; M J Mulcahey; Linda A T Jones; Frank Rockhold; Rϋediger Rupp; John L K Kramer; Steven Kirshblum; Andrew Blight; Daniel Lammertse
Journal:  Spinal Cord       Date:  2020-09-16       Impact factor: 2.772

Review 8.  Adaptive Designs for Clinical Trials: Application to Healthcare Epidemiology Research.

Authors:  W Charles Huskins; Vance G Fowler; Scott Evans
Journal:  Clin Infect Dis       Date:  2018-03-19       Impact factor: 9.079

9.  A conceptual model for the development process of confirmatory adaptive clinical trials within an emergency research network.

Authors:  Samkeliso C Mawocha; Michael D Fetters; Laurie J Legocki; Timothy C Guetterman; Shirley Frederiksen; William G Barsan; Roger J Lewis; Donald A Berry; William J Meurer
Journal:  Clin Trials       Date:  2017-01-31       Impact factor: 2.486

10.  Overview, hurdles, and future work in adaptive designs: perspectives from a National Institutes of Health-funded workshop.

Authors:  Christopher S Coffey; Bruce Levin; Christina Clark; Cate Timmerman; Janet Wittes; Peter Gilbert; Sara Harris
Journal:  Clin Trials       Date:  2012-12       Impact factor: 2.486

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