Literature DB >> 26173185

Bayesian dose escalation in oncology with sharing of information between patient populations.

Kristine R Broglio1, Larissa Sandalic2, Tina Albertson3, Scott M Berry4.   

Abstract

We present a Phase I dose escalation trial design based on a modified continual reassessment method that allows for sharing of information between populations. We describe our approach in the context of a trial for patients with acute lymphoblastic leukemia (ALL) that is currently being conducted. The ALL trial enrolls both adult and pediatric patient populations. Dose escalation and the determination of the maximum tolerated dose (MTD) are performed separately for each population, but to increase efficiency, information about the dose-toxicity curve is shared. Dose escalation rules allow pediatric patients to skip dose levels provided safety has been shown in adults and the dose level is estimated to be safe for pediatric patients. Trial objectives are to efficiently determine the MTD for each population and to minimize the number of pediatric patients required for dose escalation.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adaptive clinical trial; Bayesian; Continual reassessment method; Maximum tolerated dose; Pediatrics; Phase I

Year:  2015        PMID: 26173185     DOI: 10.1016/j.cct.2015.07.003

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  2 in total

Review 1.  Innovations for phase I dose-finding designs in pediatric oncology clinical trials.

Authors:  Adelaide Doussau; Birgit Geoerger; Irene Jiménez; Xavier Paoletti
Journal:  Contemp Clin Trials       Date:  2016-01-26       Impact factor: 2.226

2.  Unified approach for extrapolation and bridging of adult information in early-phase dose-finding paediatric studies.

Authors:  Caroline Petit; Adeline Samson; Satoshi Morita; Moreno Ursino; Jérémie Guedj; Vincent Jullien; Emmanuelle Comets; Sarah Zohar
Journal:  Stat Methods Med Res       Date:  2016-10-05       Impact factor: 3.021

  2 in total

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