Literature DB >> 25649106

Are outcome-adaptive allocation trials ethical?

Spencer Phillips Hey1, Jonathan Kimmelman2.   

Abstract

Randomization is firmly established as a cornerstone of clinical trial methodology. Yet, the ethics of randomization continues to generate controversy. The default, and most efficient, allocation scheme randomizes patients equally (1:1) across all arms of study. However, many randomized trials are using outcome-adaptive allocation schemes, which dynamically adjust the allocation ratio in favor of the better performing treatment arm. Advocates of outcome-adaptive allocation contend that it better accommodates clinical equipoise and promotes informed consent, since such trials limit patient-subject exposure to sub-optimal care. In this essay, we argue that this purported ethical advantage of outcome-adaptive allocation does not stand up to careful scrutiny in the setting of two-armed studies and/or early-phase research.
© The Author(s) 2015.

Entities:  

Keywords:  Adaptive randomization; equipoise; ethics; therapeutic misconception

Mesh:

Year:  2015        PMID: 25649106      PMCID: PMC4482671          DOI: 10.1177/1740774514563583

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  21 in total

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2.  Adaptive clinical trials: a partial remedy for the therapeutic misconception?

Authors:  William J Meurer; Roger J Lewis; Donald A Berry
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3.  Adaptive clinical trials: the promise and the caution.

Authors:  Donald A Berry
Journal:  J Clin Oncol       Date:  2010-12-20       Impact factor: 44.544

4.  Outcome--adaptive randomization: is it useful?

Authors:  Edward L Korn; Boris Freidlin
Journal:  J Clin Oncol       Date:  2010-12-20       Impact factor: 44.544

5.  Bayesian adaptive trial design in acute heart failure syndromes: moving beyond the mega trial.

Authors:  Sean P Collins; Christopher J Lindsell; Peter S Pang; Alan B Storrow; W Frank Peacock; Phil Levy; M Hossein Rahbar; Deborah Del Junco; Mihai Gheorghiade; Donald A Berry
Journal:  Am Heart J       Date:  2012-07-09       Impact factor: 4.749

6.  Worth adapting? Revisiting the usefulness of outcome-adaptive randomization.

Authors:  J Jack Lee; Nan Chen; Guosheng Yin
Journal:  Clin Cancer Res       Date:  2012-07-02       Impact factor: 12.531

7.  Adaptive randomized study of idarubicin and cytarabine versus troxacitabine and cytarabine versus troxacitabine and idarubicin in untreated patients 50 years or older with adverse karyotype acute myeloid leukemia.

Authors:  Francis J Giles; Hagop M Kantarjian; Jorge E Cortes; Guillermo Garcia-Manero; Srdan Verstovsek; Stefan Faderl; Deborah A Thomas; Alessandra Ferrajoli; Susan O'Brien; Jay K Wathen; Lian-Chun Xiao; Donald A Berry; Elihu H Estey
Journal:  J Clin Oncol       Date:  2003-05-01       Impact factor: 44.544

8.  Medical research: Trial unpredictability yields predictable therapy gains.

Authors:  Benjamin Djulbegovic; Ambuj Kumar; Paul Glasziou; Branko Miladinovic; Iain Chalmers
Journal:  Nature       Date:  2013-08-22       Impact factor: 49.962

9.  Randomized open-label phase II study of decitabine in patients with low- or intermediate-risk myelodysplastic syndromes.

Authors:  Guillermo Garcia-Manero; Elias Jabbour; Gautam Borthakur; Stefan Faderl; Zeev Estrov; Hui Yang; Sirisha Maddipoti; Lucy A Godley; Nashat Gabrail; Jesus G Berdeja; Ahmed Nadeem; Laurent Kassalow; Hagop Kantarjian
Journal:  J Clin Oncol       Date:  2013-06-03       Impact factor: 44.544

10.  The BATTLE trial: personalizing therapy for lung cancer.

Authors:  Edward S Kim; Roy S Herbst; Ignacio I Wistuba; J Jack Lee; George R Blumenschein; Anne Tsao; David J Stewart; Marshall E Hicks; Jeremy Erasmus; Sanjay Gupta; Christine M Alden; Suyu Liu; Ximing Tang; Fadlo R Khuri; Hai T Tran; Bruce E Johnson; John V Heymach; Li Mao; Frank Fossella; Merrill S Kies; Vassiliki Papadimitrakopoulou; Suzanne E Davis; Scott M Lippman; Waun K Hong
Journal:  Cancer Discov       Date:  2011-06-01       Impact factor: 39.397

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  30 in total

1.  A Bayesian adaptive randomized phase II multicenter trial of bevacizumab with or without vorinostat in adults with recurrent glioblastoma.

Authors:  Vinay K Puduvalli; Jing Wu; Ying Yuan; Terri S Armstrong; Elizabeth Vera; Jimin Wu; Jihong Xu; Pierre Giglio; Howard Colman; Tobias Walbert; Jeffrey Raizer; Morris D Groves; David Tran; Fabio Iwamoto; Nicholas Avgeropoulos; Nina Paleologos; Karen Fink; David Peereboom; Marc Chamberlain; Ryan Merrell; Marta Penas Prado; W K Alfred Yung; Mark R Gilbert
Journal:  Neuro Oncol       Date:  2020-10-14       Impact factor: 12.300

2.  Adaptive Clinical Trials: Advantages and Disadvantages of Various Adaptive Design Elements.

Authors:  Edward L Korn; Boris Freidlin
Journal:  J Natl Cancer Inst       Date:  2017-06-01       Impact factor: 13.506

Review 3.  Precision medicine needs randomized clinical trials.

Authors:  Everardo D Saad; Xavier Paoletti; Tomasz Burzykowski; Marc Buyse
Journal:  Nat Rev Clin Oncol       Date:  2017-02-07       Impact factor: 66.675

4.  Answering patient-centred questions efficiently: response-adaptive platform trials in primary care.

Authors:  Christopher C Butler; Jason T Connor; Roger J Lewis; Kristine Broglio; Benjamin R Saville; Johanna Cook; Alike van der Velden; Theo Verheij
Journal:  Br J Gen Pract       Date:  2018-06       Impact factor: 5.386

5.  Statistical controversies in clinical research: scientific and ethical problems with adaptive randomization in comparative clinical trials.

Authors:  P Thall; P Fox; J Wathen
Journal:  Ann Oncol       Date:  2015-05-15       Impact factor: 32.976

6.  Ethical challenges in conducting clinical research in lung cancer.

Authors:  Peter Allmark; Angela M Tod
Journal:  Transl Lung Cancer Res       Date:  2016-06

7.  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

8.  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

9.  A post hoc evaluation of a sample size re-estimation in the Secondary Prevention of Small Subcortical Strokes study.

Authors:  Leslie A McClure; Jeff M Szychowski; Oscar Benavente; Robert G Hart; Christopher S Coffey
Journal:  Clin Trials       Date:  2016-04-19       Impact factor: 2.486

10.  Using Adaptive Designs to Avoid Selecting the Wrong Arms in Multiarm Comparative Effectiveness Trials.

Authors:  Byron J Gajewski; Jeffrey Statland; Richard Barohn
Journal:  Stat Biopharm Res       Date:  2019-06-26       Impact factor: 1.452

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