Literature DB >> 2350571

Continual reassessment method: a practical design for phase 1 clinical trials in cancer.

J O'Quigley1, M Pepe, L Fisher.   

Abstract

This paper looks at a new approach to the design and analysis of Phase 1 clinical trials in cancer. The basic idea and motivation behind the approach stem from an attempt to reconcile the needs of dose-finding experimentation with the ethical demands of established medical practice. It is argued that for these trials the particular shape of the dose toxicity curve is of little interest. Attention focuses rather on identifying a dose with a given targeted toxicity level and on concentrating experimentation at that which all current available evidence indicates to be the best estimate of this level. Such an approach not only makes an explicit attempt to meet ethical requirements but also enables the use of models whose only requirements are that locally (i.e., around the dose corresponding to the targeted toxicity level) they reasonably well approximate the true probability of toxic response. Although a large number of models could be contemplated, we look at a particularly simple one. Extensive simulations show the model to have real promise.

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Year:  1990        PMID: 2350571

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  374 in total

Review 1.  Trials and fast changing technologies: the case for tracker studies.

Authors:  R J Lilford; D A Braunholtz; R Greenhalgh; S J Edwards
Journal:  BMJ       Date:  2000-01-01

Review 2.  Learning from previous responses in phase I dose-escalation studies.

Authors:  J Whitehead; Y Zhou; N Stallard; S Todd; A Whitehead
Journal:  Br J Clin Pharmacol       Date:  2001-07       Impact factor: 4.335

3.  Isotonic designs for phase I trials in partially ordered groups.

Authors:  Mark Conaway
Journal:  Clin Trials       Date:  2017-08-04       Impact factor: 2.486

4.  Optimizing Sedative Dose in Preterm Infants Undergoing Treatment for Respiratory Distress Syndrome.

Authors:  Peter F Thall; Hoang Q Nguyen; Sarah Zohar; Pierre Maton
Journal:  J Am Stat Assoc       Date:  2014-09-01       Impact factor: 5.033

5.  Phase I studies of weekly administration of cytotoxic agents: implications of a mathematical model.

Authors:  Donna K McClish; John D Roberts
Journal:  Invest New Drugs       Date:  2003-08       Impact factor: 3.850

6.  A novel approach for propensity score matching and stratification for multiple treatments: Application to an electronic health record-derived study.

Authors:  Derek W Brown; Stacia M DeSantis; Thomas J Greene; Vahed Maroufy; Ashraf Yaseen; Hulin Wu; George Williams; Michael D Swartz
Journal:  Stat Med       Date:  2020-04-16       Impact factor: 2.373

7.  Effective dose of nefopam in 80% of patients (ED80): a study using the continual reassessment method.

Authors:  Hélène Beloeil; Mathilde Eurin; Aude Thévenin; Dan Benhamou; Jean-Xavier Mazoit
Journal:  Br J Clin Pharmacol       Date:  2007-06-19       Impact factor: 4.335

8.  On the efficiency of nonparametric variance estimation in sequential dose-finding.

Authors:  Chih-Chi Hu; Ying Kuen Cheung
Journal:  J Stat Plan Inference       Date:  2013-03       Impact factor: 1.111

9.  Dose Finding for Drug Combination in Early Cancer Phase I Trials using Conditional Continual Reassessment Method.

Authors:  Márcio Augusto Diniz; Mourad Tighiouart
Journal:  J Biom Biostat       Date:  2017-11-27

10.  A Generalized Continual Reassessment Method for Two-Agent Phase I Trials.

Authors:  Thomas M Braun; Nan Jia
Journal:  Stat Biopharm Res       Date:  2013-01-01       Impact factor: 1.452

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