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Continual reassessment method for dose escalation clinical trials in oncology: a comparison of prior skeleton approaches using AZD3514 data

Overview of attention for article published in BMC Cancer, August 2016
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Title
Continual reassessment method for dose escalation clinical trials in oncology: a comparison of prior skeleton approaches using AZD3514 data
Published in
BMC Cancer, August 2016
DOI 10.1186/s12885-016-2702-6
Pubmed ID
Authors

Gareth D. James, Stefan N. Symeonides, Jayne Marshall, Julia Young, Glen Clack

Abstract

The continual reassessment method (CRM) requires an underlying model of the dose-toxicity relationship ("prior skeleton") and there is limited guidance of what this should be when little is known about this association. In this manuscript the impact of applying the CRM with different prior skeleton approaches and the 3 + 3 method are compared in terms of ability to determine the true maximum tolerated dose (MTD) and number of patients allocated to sub-optimal and toxic doses. Post-hoc dose-escalation analyses on real-life clinical trial data on an early oncology compound (AZD3514), using the 3 + 3 method and CRM using six different prior skeleton approaches. All methods correctly identified the true MTD. The 3 + 3 method allocated six patients to both sub-optimal and toxic doses. All CRM approaches allocated four patients to sub-optimal doses. No patients were allocated to toxic doses from sigmoidal, two from conservative and five from other approaches. Prior skeletons for the CRM for phase 1 clinical trials are proposed in this manuscript and applied to a real clinical trial dataset. Highly accurate initial skeleton estimates may not be essential to determine the true MTD, and, as expected, all CRM methods out-performed the 3 + 3 method. There were differences in performance between skeletons. The choice of skeleton should depend on whether minimizing the number of patients allocated to suboptimal or toxic doses is more important. NCT01162395 , Trial date of first registration: July 13, 2010.

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Student > Doctoral Student 3 13%
Other 2 8%
Researcher 2 8%
Student > Ph. D. Student 1 4%
Other 3 13%
Unknown 7 29%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 13%
Mathematics 2 8%
Medicine and Dentistry 2 8%
Business, Management and Accounting 1 4%
Nursing and Health Professions 1 4%
Other 6 25%
Unknown 9 38%