Literature DB >> 15020035

Comparing the power of the discontinuation design to that of the classic randomized design on time-to-event endpoints.

William B Capra1.   

Abstract

The discontinuation design has been proposed as an alternative to the classic randomized design for evaluating the effect of an experimental agent on time-to-disease progression and survival duration. With this design, all enrolled patients are treated with an experimental agent for a fixed course of therapy. Those patients with progressive disease at or before the end of this fixed period are removed from trial while those with stable disease or better are randomized to continued treatment with the experimental agent or standard of care. Simulations presented in this paper demonstrate that for realistic situations, the loss in information on patients enrolled but not randomized in the discontinuation design is of sufficient magnitude that it is underpowered as compared to the classic design of randomizing all enrolled subjects.

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Year:  2004        PMID: 15020035     DOI: 10.1016/j.cct.2003.11.005

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  5 in total

1.  Bayesian enrichment strategies for randomized discontinuation trials.

Authors:  Lorenzo Trippa; Gary L Rosner; Peter Müller
Journal:  Biometrics       Date:  2011-06-29       Impact factor: 2.571

2.  Comparison of power between randomized discontinuation design and upfront randomization design on progression-free survival.

Authors:  Pingfu Fu; Afshin Dowlati; Mark Schluchter
Journal:  J Clin Oncol       Date:  2009-07-27       Impact factor: 44.544

3.  Estimation of Progression-Free Survival for All Treated Patients in the Randomized Discontinuation Trial Design.

Authors:  Theodore G Karrison; Mark J Ratain; Walter M Stadler; Gary L Rosner
Journal:  Am Stat       Date:  2012       Impact factor: 8.710

4.  Discontinuing medications: a novel approach for revising the prescribing stage of the medication-use process.

Authors:  Kevin T Bain; Holly M Holmes; Mark H Beers; Vittorio Maio; Steven M Handler; Stephen G Pauker
Journal:  J Am Geriatr Soc       Date:  2008-09-02       Impact factor: 5.562

Review 5.  Maintenance efficacy designs in psychiatry: Randomized discontinuation trials - enriched but not better.

Authors:  S N Ghaemi; Harry P Selker
Journal:  J Clin Transl Sci       Date:  2017-07-10
  5 in total

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