The use of putative placebo in active control trials: two applications in a regulatory setting
- 21 February 2003
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 22 (6) , 941-952
- https://doi.org/10.1002/sim.1454
Abstract
For life‐threatening diseases, ethical considerations preclude the inclusion of an untreated control group in the investigation of a new therapeutic agent when a standard therapy exists. In these cases, active controlled studies are conducted, and may be planned to demonstrate either superiority or equivalence/non‐inferiority of the new drug over the standard therapy (active control). In the non‐inferiority study, an important aspect is the ability to detect an inferior drug (assay sensitivity). It has been suggested that assay sensitivity for a non‐inferiority study should be deduced from historical data, specifically placebo controlled studies with the standard therapy. The assessment of assay sensitivity may also be important in a superiority trial that fails to demonstrate a statistically significant difference between treatments, and the sponsor attempts to determine whether there is lack of inferiority as an alternative hypothesis for regulatory approval. This paper describes two methods of putative placebo analysis for assessing assay sensitivity in active controlled trials. One approach imputes a point estimate for the odds ratio (95 per cent confidence interval) for a new drug (T) compared to a placebo control (P). A Bayesian approach calculates the posterior probability that T is superior to P, or, that T is at least k per cent as good as the active control (A) and A is more effective than P. These methods are applied in two clinical/regulatory settings: a phase III trial comparing docetaxel (Taxotere) to doxorubicin in metastatic breast cancer patients, and a phase III programme with two trials comparing enoxaparin (Lovenox) plus aspirin to unfractionated heparin plus aspirin in patients with unstable angina or non‐Q‐wave myocardial infarction. The methodologies presented in this paper were used in securing regulatory approval for docetaxel in the treatment of locally advanced or metastatic breast cancer after failure of prior chemotherapy, and for enoxaparin in the treatment of acute coronary syndrome. Copyright © 2003 John Wiley & Sons, Ltd.Keywords
This publication has 22 references indexed in Scilit:
- Utility and pitfalls of some statistical methods in active controlled clinical trialsControlled Clinical Trials, 2002
- Statistical Methods for Comparison to Placebo in Active-Control TrialsDrug Information Journal, 2001
- Enoxaparin Prevents Death and Cardiac Ischemic Events in Unstable Angina/Non–Q-Wave Myocardial InfarctionCirculation, 1999
- Adding Heparin to Aspirin Reduces the Incidence of Myocardial Infarction and Death in Patients With Unstable AnginaJAMA, 1996
- Trials to assess equivalence: the importance of rigorous methodsBMJ, 1996
- Systemic Therapy of Advanced Breast CancerDrugs, 1992
- Randomized Trial of Doxorubicin, Bisantrene, and Miltoxantrone in Advanced Breast Cancer: A Southwest Oncology Group StudyJNCI Journal of the National Cancer Institute, 1991
- Another view of active-controlled trialsControlled Clinical Trials, 1991
- “Proving the null hypothesis” in clinical trialsControlled Clinical Trials, 1982