Literature DB >> 25626429

Bridging continual reassessment method for phase I clinical trials in different ethnic populations.

Suyu Liu1, Haitao Pan, Jielai Xia, Qin Huang, Ying Yuan.   

Abstract

Accumulating evidence shows that the conventional one-size-fits-all dose-finding paradigm is problematic when applied to different ethnic populations. Because of inter-ethnic heterogeneity, the dosage established in a landmark trial for a certain population may not be generalizable to a different ethnic population, and a follow-up bridge trial is often needed to find the maximum tolerated dose for the new population. We propose the bridging continual reassessment method (B-CRM) to facilitate dose finding for such follow-up bridge trials. The B-CRM borrows information from the landmark trial through a novel estimate of the dose-toxicity curve and accommodates the inter-ethnic heterogeneity using the Bayesian model averaging approach. Extensive simulation studies show that the B-CRM has desirable operating characteristics with a high probability to select the target dose. This article focuses on ethnic heterogeneity, but the proposed method can be directly used to handle other types of patient heterogeneity, for example, patient subgroups defined by prognostic factors or biomarkers. The software to implement the B-CRM design is available for free download at http://odin.mdacc.tmc.edu/~yyuan/.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  adaptive design; borrow strength; bridge studies; dose finding; inter-ethnic heterogeneity; maximum tolerated dose; subgroups

Mesh:

Substances:

Year:  2015        PMID: 25626429     DOI: 10.1002/sim.6442

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  8 in total

1.  A simulation study of methods for selecting subgroup-specific doses in phase 1 trials.

Authors:  Satoshi Morita; Peter F Thall; Kentaro Takeda
Journal:  Pharm Stat       Date:  2017-01-23       Impact factor: 1.894

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

3.  An adaptive power prior for sequential clinical trials - Application to bridging studies.

Authors:  Adrien Ollier; Satoshi Morita; Moreno Ursino; Sarah Zohar
Journal:  Stat Methods Med Res       Date:  2019-11-15       Impact factor: 3.021

4.  Estimating Similarity of Dose-Response Relationships in Phase I Clinical Trials-Case Study in Bridging Data Package.

Authors:  Adrien Ollier; Sarah Zohar; Satoshi Morita; Moreno Ursino
Journal:  Int J Environ Res Public Health       Date:  2021-02-09       Impact factor: 3.390

5.  Phase I dose-escalation oncology trials with sequential multiple schedules.

Authors:  Burak Kürsad Günhan; Sebastian Weber; Abdelkader Seroutou; Tim Friede
Journal:  BMC Med Res Methodol       Date:  2021-04-14       Impact factor: 4.615

6.  Bridging across patient subgroups in phase I oncology trials that incorporate animal data.

Authors:  Haiyan Zheng; Lisa V Hampson; Thomas Jaki
Journal:  Stat Methods Med Res       Date:  2021-01-27       Impact factor: 3.021

7.  Determination of the ED95 of intranasal sufentanil combined with intranasal dexmedetomidine for moderate sedation during endoscopic ultrasonography.

Authors:  Yi Zou; Na Li; Liu-Jia-Zi Shao; Fu-Kun Liu; Fu-Shan Xue; Xing Tao
Journal:  World J Clin Cases       Date:  2022-03-26       Impact factor: 1.337

8.  Dose-escalation strategies which use subgroup information.

Authors:  Amy Cotterill; Thomas Jaki
Journal:  Pharm Stat       Date:  2018-06-13       Impact factor: 1.894

  8 in total

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