Literature DB >> 10407256

Continual reassessment methods in phase I trials of the combination of two drugs in oncology.

A Kramar1, A Lebecq, E Candalh.   

Abstract

Most phase I trials in oncology use standard methods for treating successive groups of patients with increasing doses in order to determine the maximum tolerated dose (MTD). These methods have been criticized because they treat many patients at suboptimal dose levels, and do not provide an accurate estimation of the best dose level. Continual reassessment methods for the study of toxicity in single agent phase I trials have recently been advocated since they present many advantages over traditional methods. Although the advantages of these methods are recognized by most clinical investigators, their use is not widespread and their advantages have not yet been universally accepted. A maximum likelihood continual reassessment method was conducted retrospectively and compared to the originally planned standard method in a two drug combination phase I trial in order to study its applicability in this setting. Calculations from the binomial distributions and simulations were used for identifying the MTD, for the proportion of patients treated at the MTD or at one dose level just below, and for the proportion of patients treated at doses above the MTD. If the new method had been applied in this study, the MTD would have been reached much earlier, since, most of the time, higher dose levels were recommended. This result shows the feasibility of the new method in a two-drug setting and its use should be encouraged since fewer patients are treated at suboptimal dose levels or at dose levels above the MTD. Copyright 1999 John Wiley & Sons Ltd.

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Year:  1999        PMID: 10407256     DOI: 10.1002/(sici)1097-0258(19990730)18:14<1849::aid-sim222>3.0.co;2-i

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


  13 in total

1.  Identifying a maximum tolerated contour in two-dimensional dose finding.

Authors:  Nolan A Wages
Journal:  Stat Med       Date:  2016-02-22       Impact factor: 2.373

2.  A comparative study of adaptive dose-finding designs for phase I oncology trials of combination therapies.

Authors:  Akihiro Hirakawa; Nolan A Wages; Hiroyuki Sato; Shigeyuki Matsui
Journal:  Stat Med       Date:  2015-05-13       Impact factor: 2.373

3.  BAYESIAN PHASE I/II ADAPTIVELY RANDOMIZED ONCOLOGY TRIALS WITH COMBINED DRUGS.

Authors:  Ying Yuan; Guosheng Yin
Journal:  Ann Appl Stat       Date:  2011-01-01       Impact factor: 2.083

4.  A hierarchical Bayesian design for phase I trials of novel combinations of cancer therapeutic agents.

Authors:  Thomas M Braun; Shufang Wang
Journal:  Biometrics       Date:  2010-09       Impact factor: 2.571

5.  Dose-finding design for multi-drug combinations.

Authors:  Nolan A Wages; Mark R Conaway; John O'Quigley
Journal:  Clin Trials       Date:  2011-06-07       Impact factor: 2.486

6.  Continual reassessment method for partial ordering.

Authors:  Nolan A Wages; Mark R Conaway; John O'Quigley
Journal:  Biometrics       Date:  2011-03-01       Impact factor: 2.571

Review 7.  Practical designs for Phase I combination studies in oncology.

Authors:  Nolan A Wages; Anastasia Ivanova; Olga Marchenko
Journal:  J Biopharm Stat       Date:  2016       Impact factor: 1.051

8.  Bayesian Dose Finding for Combined Drugs with Discrete and Continuous Doses.

Authors:  Lin Huo; Ying Yuan; Guosheng Yin
Journal:  Bayesian Anal       Date:  2012       Impact factor: 3.728

9.  Effective dose of nefopam in 80% of patients (ED80): a study using the continual reassessment method.

Authors:  Hélène Beloeil; Mathilde Eurin; Aude Thévenin; Dan Benhamou; Jean-Xavier Mazoit
Journal:  Br J Clin Pharmacol       Date:  2007-06-19       Impact factor: 4.335

10.  A Bayesian Dose-finding Design for Oncology Clinical Trials of Combinational Biological Agents.

Authors:  Chunyan Cai; Ying Yuan; Yuan Ji
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2014-01-01       Impact factor: 1.864

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