Your browser doesn't support javascript.
loading
Implementing the EffTox dose-finding design in the Matchpoint trial.
Brock, Kristian; Billingham, Lucinda; Copland, Mhairi; Siddique, Shamyla; Sirovica, Mirjana; Yap, Christina.
  • Brock K; Cancer Research UK Clinical Trials Unit, Institute of Cancer & Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK. k.brock@bham.ac.uk.
  • Billingham L; Cancer Research UK Clinical Trials Unit, Institute of Cancer & Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
  • Copland M; Paul O'Gorman Leukaemia Research Centre, University of Glasgow, Glasgow, UK.
  • Siddique S; Cancer Research UK Clinical Trials Unit, Institute of Cancer & Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
  • Sirovica M; Cancer Research UK Clinical Trials Unit, Institute of Cancer & Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
  • Yap C; Cancer Research UK Clinical Trials Unit, Institute of Cancer & Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
BMC Med Res Methodol ; 17(1): 112, 2017 Jul 20.
Article en En | MEDLINE | ID: mdl-28728594
ABSTRACT

BACKGROUND:

The Matchpoint trial aims to identify the optimal dose of ponatinib to give with conventional chemotherapy consisting of fludarabine, cytarabine and idarubicin to chronic myeloid leukaemia patients in blastic transformation phase. The dose should be both tolerable and efficacious. This paper describes our experience implementing EffTox in the Matchpoint trial.

METHODS:

EffTox is a Bayesian adaptive dose-finding trial design that jointly scrutinises binary efficacy and toxicity outcomes. We describe a nomenclature for succinctly describing outcomes in phase I/II dose-finding trials. We use dose-transition pathways, where doses are calculated for each feasible set of outcomes in future cohorts. We introduce the phenomenon of dose ambivalence, where EffTox can recommend different doses after observing the same outcomes. We also describe our experiences with outcome ambiguity, where the categorical evaluation of some primary outcomes is temporarily delayed.

RESULTS:

We arrived at an EffTox parameterisation that is simulated to perform well over a range of scenarios. In scenarios where dose ambivalence manifested, we were guided by the dose-transition pathways. This technique facilitates planning, and also helped us overcome short-term outcome ambiguity.

CONCLUSIONS:

EffTox is an efficient and powerful design, but not without its challenges. Joint phase I/II clinical trial designs will likely become increasingly important in coming years as we further investigate non-cytotoxic treatments and streamline the drug approval process. We hope this account of the problems we faced and the solutions we used will help others implement this dose-finding clinical trial design. TRIAL REGISTRATION Matchpoint was added to the European Clinical Trials Database ( https//www.clinicaltrialsregister.eu/ctr-search/trial/2012-005629-65/GB ) on 2013-12-30.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Protocolos de Quimioterapia Combinada Antineoplásica / Crisis Blástica / Teorema de Bayes Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proyectos de Investigación / Protocolos de Quimioterapia Combinada Antineoplásica / Crisis Blástica / Teorema de Bayes Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2017 Tipo del documento: Article