Literature DB >> 34951338

Stopping rules for phase I clinical trials with dose expansion cohorts.

Sean M Devlin1, Alexia Iasonos1, John O'Quigley2.   

Abstract

Many clinical trials incorporate stopping rules to terminate early if the clinical question under study can be answered with a high degree of confidence. While common in later-stage trials, these rules are rarely implemented in dose escalation studies, due in part to the relatively smaller sample size of these designs. However, even with a small sample size, this paper shows that easily implementable stopping rules can terminate dose-escalation early with minimal loss to the accuracy of maximum tolerated dose estimation. These stopping rules are developed when the goal is to identify one or two dose levels, as the maximum tolerated dose and co-maximum tolerated dose. In oncology, this latter goal is frequently considered when the study includes dose-expansion cohorts, which are used to further estimate and compare the safety and efficacy of one or two dose levels. As study protocols do not typically halt accrual between escalation and expansion, early termination is of clinical importance as it either allows for additional patients to be treated as part of the dose expansion cohort to obtain more precise estimates of the study endpoints or allows for an overall reduction in the total sample size.

Entities:  

Keywords:  Phase I clinical trials; dynamic stopping rules; early termination; expansion cohorts; oncology; sample size

Mesh:

Year:  2021        PMID: 34951338      PMCID: PMC9400040          DOI: 10.1177/09622802211064996

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   2.494


  14 in total

1.  Adaptive design improvements in the continual reassessment method for phase I studies.

Authors:  J M Heyd; B P Carlin
Journal:  Stat Med       Date:  1999-06-15       Impact factor: 2.373

2.  Continual reassessment designs with early termination.

Authors:  John O'Quigley
Journal:  Biostatistics       Date:  2002-03       Impact factor: 5.899

3.  Integrating the escalation and dose expansion studies into a unified Phase I clinical trial.

Authors:  Alexia Iasonos; John O'Quigley
Journal:  Contemp Clin Trials       Date:  2016-07-05       Impact factor: 2.226

Review 4.  Evolution of clinical trial design in early drug development: systematic review of expansion cohort use in single-agent phase I cancer trials.

Authors:  Arif Manji; Irene Brana; Eitan Amir; George Tomlinson; Ian F Tannock; Philippe L Bedard; Amit Oza; Lillian L Siu; Albiruni R Abdul Razak
Journal:  J Clin Oncol       Date:  2013-10-14       Impact factor: 44.544

5.  Design and analysis of phase I clinical trials.

Authors:  B E Storer
Journal:  Biometrics       Date:  1989-09       Impact factor: 2.571

6.  Some practical improvements in the continual reassessment method for phase I studies.

Authors:  S N Goodman; M L Zahurak; S Piantadosi
Journal:  Stat Med       Date:  1995-06-15       Impact factor: 2.373

7.  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

8.  Evaluation of statistical designs in phase I expansion cohorts: the Dana-Farber/Harvard Cancer Center experience.

Authors:  Suzanne E Dahlberg; Geoffrey I Shapiro; Jeffrey W Clark; Bruce E Johnson
Journal:  J Natl Cancer Inst       Date:  2014-06-24       Impact factor: 13.506

9.  Dimension of model parameter space and operating characteristics in adaptive dose-finding studies.

Authors:  Alexia Iasonos; Nolan A Wages; Mark R Conaway; Ken Cheung; Ying Yuan; John O'Quigley
Journal:  Stat Med       Date:  2016-04-18       Impact factor: 2.373

10.  Model calibration in the continual reassessment method.

Authors:  Shing M Lee
Journal:  Clin Trials       Date:  2009-06       Impact factor: 2.486

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