Literature DB >> 18617665

Practical model-based dose finding in early-phase clinical trials: optimizing tissue plasminogen activator dose for treatment of ischemic stroke in children.

Harry T Whelan1, John D Cook, Catherine M Amlie-Lefond, Collin A Hovinga, Anthony K Chan, Rebecca N Ichord, Gabrielle A Deveber, Peter F Thall.   

Abstract

BACKGROUND AND
PURPOSE: A safe and effective tissue plasminogen activator (tPA) dose for childhood stroke has not been established. This article describes a Bayesian outcome-adaptive method for determining the best dose of an experimental agent and explains how this method was used to design a dose-finding trial for tPA in childhood.
METHODS: The method assigns doses to successive cohorts of patients on the basis of each dose's desirability, quantified in terms of the tradeoff between efficacy and toxicity. The tradeoff function is constructed from several pairs of equally desirable (efficacy, toxicity) probabilities specified by the physicians planning the trial. Each cohort's dose is chosen adaptively, based on dose-outcome data from the patients treated previously in the trial, to optimize the efficacy-toxicity tradeoff. Application of the method to design the tPA trial is described, including a computer simulation study to establish design properties. A hypothetical cohort-by-cohort example is given to illustrate how the method works during trial conduct.
RESULTS: Because only a dose that is both safe and efficacious may be selected and the method combines phase I and phase II by integrating efficacy and toxicity to choose doses, it avoids the more time-consuming and expensive conventional approach of conducting a phase I trial based on toxicity alone followed by a phase II trial based on efficacy alone. This is especially useful in settings with low accrual rates, such as trials of tPA for pediatric acute ischemic stroke.

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Year:  2008        PMID: 18617665     DOI: 10.1161/STROKEAHA.107.510164

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  3 in total

1.  Potential eligibility for recombinant tissue plasminogen activator therapy in children: a population-based study.

Authors:  Laura L Lehman; Dawn O Kleindorfer; Jane C Khoury; Kathleen Alwell; Charles J Moomaw; Brett M Kissela; Pooja Khatri
Journal:  J Child Neurol       Date:  2011-05-31       Impact factor: 1.987

2.  Bayesian Models and Decision Algorithms for Complex Early Phase Clinical Trials.

Authors:  Peter F Thall
Journal:  Stat Sci       Date:  2010-05       Impact factor: 2.901

3.  A placebo-controlled Bayesian dose finding design based on continuous reassessment method with application to stroke research.

Authors:  Chunyan Cai; Mohammad H Rahbar; Md Monir Hossain; Ying Yuan; Nicole R Gonzales
Journal:  Contemp Clin Trials Commun       Date:  2017-05-06
  3 in total

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