A Bayesian dose-finding trial with adaptive dose expansion to flexibly assess efficacy and safety of an investigational drug

被引:33
作者
Berry, Scott M. [1 ]
Spinelli, Walter [2 ]
Littman, Gary S. [3 ]
Liang, John Z. [2 ]
Fardipour, Parvin [2 ]
Berry, Donald A. [4 ]
Lewis, Roger J. [5 ]
Krams, Michael [2 ]
机构
[1] Berry Consultants LLC, College Stn, TX USA
[2] Pfizer Inc, Collegeville, PA USA
[3] Appl Clin Intelligence, Bala Cynwyd, PA USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Biostat, Houston, TX 77030 USA
[5] Harbor UCLA Med Ctr, Dept Emergency Med, Torrance, CA 90509 USA
关键词
CLINICAL-TRIALS; DESIGNS; TOXICITY; OUTCOMES;
D O I
10.1177/1740774510361541
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background Adaptive dose-ranging trials are more efficient than traditional approaches and may be designed to explicitly address the goals and decisions inherent in learn-phase drug development. We report the design, implementation, and outcome of an innovative Bayesian, response-adaptive, dose-ranging trial of an investigational drug in patients with diabetes, incorporating a dose expansion approach to flexibly address both efficacy and safety. Purpose The design was developed to assess whether one or more doses of an investigational drug demonstrated superior efficacy to an active control while maintaining an acceptable safety profile. Methods The trial used a two-stage design, in which patients were initially allocated equally to placebo, investigational drug at a low and a medium dose, and an active control. Movement to the second stage was contingent upon evidence of efficacy (measured by change in fasting blood glucose) to add a very low dose of the investigational drug and of safety (measured by weight gain) to add a high dose of the investigational drug. The design incorporated a longitudinal model to maximize use of incomplete data, predictive probabilities to guide the decisions to terminate the trial for futility or move on to Stage 2, and a dose-response model in Stage 2 to borrow information across adjacent doses. Extensive simulations were used to fine tune trial parameters, to define operating characteristics, and to determine the required sample sizes. A data monitoring committee was provided with frequent reports to aid in trial oversight. Results In Stage 1, as trial data accrued, the predictive probability that either the low or medium dose of the investigational drug was superior to the active control fell to low values. Stage 1 termination was recommended after 199 subjects were randomized, out of a maximum trial size of 500 subjects, and the final sample size was 218. Thus the trial did not progress to Stage 2. Limitations Because of the relatively narrow dose range to be assessed, and the inability to utilize the highest dose at the beginning of the trial, a fully responsive-adaptive design incorporating dose-response modeling was not considered a viable option. This limited the efficiency gains possible with a full set of adaptive design elements. Conclusions The two-stage dose-expansion design functioned as designed, recommending early termination based on a low probability that the tested doses had efficacy greater than the active control. Clinical Trials 2010; 7: 121-135. http://ctj.sagepub.com.
引用
收藏
页码:121 / 135
页数:15
相关论文
共 16 条
  • [1] A Bayesian approach to jointly modeling toxicity and biomarker expression in a phase I/II dose-finding trial
    Bekele, BN
    Shen, Y
    [J]. BIOMETRICS, 2005, 61 (02) : 344 - 354
  • [2] BERRY DA, 2001, CASE STUDIES BAYESIA, V5, P99
  • [3] Innovative approaches for designing and analyzing adaptive dose-ranging trials
    Bornkamp, Bjoern
    Bretz, Frank
    Dmitrienko, Alex
    Enas, Greg
    Gaydos, Brenda
    Hsu, Chyi-Hung
    Koenig, Franz
    Krams, Michael
    Liu, Qing
    Neuenschwander, Beat
    Parke, Tom
    Pinheiro, Jose
    Roy, Amit
    Sax, Rick
    Shen, Frank
    [J]. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2007, 17 (06) : 965 - 995
  • [4] The bivariate continual reassessment method: extending the CRM to phase I trials of two competing outcomes
    Braun, TA
    [J]. CONTROLLED CLINICAL TRIALS, 2002, 23 (03): : 240 - 256
  • [5] Sequential designs for phase I clinical trials with late-onset toxicities
    Cheung, YK
    Chappell, R
    [J]. BIOMETRICS, 2000, 56 (04) : 1177 - 1182
  • [6] Adaptive designs for dose-finding based on efficacy-toxicity response
    Dragalin, V
    Fedorov, V
    [J]. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2006, 136 (06) : 1800 - 1823
  • [7] Adaptive designs: Terminology and classification
    Dragalin, Vladimir
    [J]. DRUG INFORMATION JOURNAL, 2006, 40 (04): : 425 - 435
  • [8] Optimal designs and limiting optimal designs for a trinomial response
    Fan, SK
    Chaloner, K
    [J]. JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2004, 126 (01) : 347 - 360
  • [9] Dose finding designs for continuous responses and binary utility
    Fedorov, Valerii V.
    Wu, Yuehui
    [J]. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2007, 17 (06) : 1085 - 1096
  • [10] Can the pharmaceutical industry reduce attrition rates?
    Kola, I
    Landis, J
    [J]. NATURE REVIEWS DRUG DISCOVERY, 2004, 3 (08) : 711 - 715