Literature DB >> 7569510

An extension of the continual reassessment methods using a preliminary up-and-down design in a dose finding study in cancer patients, in order to investigate a greater range of doses.

S Møller1.   

Abstract

In a phase I clinical trial in cancer patients, the drug involved had one known main adverse effect, which also occurs spontaneously in cancer patients with a fairly high frequency. Experiments in rats have shown marked effects of the drug on tumour growth in high doses, but also dose-dependent toxicity. Consequently, the aim of the study was to determine a dose with a prespecified, acceptable rate of toxicity. As a traditional design could result in inaccurate conclusions, use of the continual reassessment method (CRM) was considered. Twelve dose levels were chosen, allocating to the first patient the lowest, but safe, dose. It is likely that the target dose is far above that, and that CRM then would escalate too fast, skipping certain levels. To ensure that all dose levels inferior to the target dose were tried, some combined methods were proposed: (1) an extension of the design, combining the CRM with a preliminary up-and-down design in order to reach the neighbourhood of the target dose during a successive escalation, and (2) a restriction on the CRM of never escalate more than a single dose level. Simulations showed the extended CRM to be superior by making it possible to investigate a greater range of doses using fewer patients, and to provide more accurate estimates.

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Year:  1995        PMID: 7569510     DOI: 10.1002/sim.4780140909

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


  26 in total

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Authors:  Iñaki F Trocóniz; Jan-Markus Wolters; Christiane Tillmann; Hans G Schaefer; Willy Roth
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7.  Advancing Clinical Trials to Streamline Drug Development.

Authors:  Susan E Bates; Donald A Berry; Sanjeeve Balasubramaniam; Stuart Bailey; Patricia M LoRusso; Eric H Rubin
Journal:  Clin Cancer Res       Date:  2015-10-15       Impact factor: 12.531

8.  A likelihood-based approach for computing the operating characteristics of the 3+3 phase I clinical trial design with extensions to other A+B designs.

Authors:  Cody Chiuzan; Elizabeth Garrett-Mayer; Sharon D Yeatts
Journal:  Clin Trials       Date:  2014-10-27       Impact factor: 2.486

9.  Approaches to phase 1 clinical trial design focused on safety, efficiency, and selected patient populations: a report from the clinical trial design task force of the national cancer institute investigational drug steering committee.

Authors:  S Percy Ivy; Lillian L Siu; Elizabeth Garrett-Mayer; Larry Rubinstein
Journal:  Clin Cancer Res       Date:  2010-03-09       Impact factor: 12.531

10.  A Bayesian adaptive design for cancer phase I trials using a flexible range of doses.

Authors:  Mourad Tighiouart; Galen Cook-Wiens; André Rogatko
Journal:  J Biopharm Stat       Date:  2017-10-06       Impact factor: 1.051

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