Literature DB >> 23307587

Improper selection of a pre-specified primary dose-response analysis delays regulatory drug approval.

Jiang Liu1, Pravin Jadhav, Yaning Wang, Jogarao Gobburu.   

Abstract

Dose-response analysis is one of the accepted efficacy endpoints to establish effectiveness. The purpose of this research was to inform selection of an appropriate pre-specified primary dose-response analysis to demonstrate drug efficacy in a registration trial. The power and the type I error rate of the placebo-corrected (i.e., simply adjusting the observed treatment value by subtracting the placebo mean) and the placebo-anchored (i.e., including the placebo data as dose 0 in the regression) slope analyses were assessed based on regulatory submission data for two antihypertensive drugs and simulated data from hypothetical clinical trials. In the simulated hypothetical trials, the impact of different dosing strategies (i.e., the fixed dose versus the weight-based per kilogram dose), sample size, and scenarios governing the drug exposure-response relationship (e.g., E(max), ED(50), and SD) was also evaluated. For each scenario, a total 300 replications were simulated. The placebo-anchored slope analysis is always more powerful to demonstrate effectiveness in all plausible scenarios. The difference between the placebo-anchored and the placebo-corrected analyses was maximum when the studied doses were too high. However, the dose-response analysis is not sensitive to the dosing strategies. Furthermore, the type I error rate of these two methods was also found to be comparable. The design of dose-response studies should carefully consider these results to justify the inclusion of placebo and the analysis method. The pharmaceutical industry and the regulatory agencies are equally responsible for using the appropriate methods of primary analysis and providing justification in the protocol.

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Year:  2013        PMID: 23307587      PMCID: PMC3675735          DOI: 10.1208/s12248-012-9438-2

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  3 in total

1.  Impact of pharmacometric analyses on new drug approval and labelling decisions: a review of 198 submissions between 2000 and 2008.

Authors:  Joo Yeon Lee; Christine E Garnett; Jogarao V S Gobburu; Venkatesh A Bhattaram; Satjit Brar; Justin C Earp; Pravin R Jadhav; Kevin Krudys; Lawrence J Lesko; Fang Li; Jiang Liu; Rajnikanth Madabushi; Anshu Marathe; Nitin Mehrotra; Christoffer Tornoe; Yaning Wang; Hao Zhu
Journal:  Clin Pharmacokinet       Date:  2011-10       Impact factor: 6.447

Review 2.  Pediatric cardiovascular drug trials, lessons learned.

Authors:  Jennifer S Li; Michael Cohen-Wolkowiez; Sara K Pasquali
Journal:  J Cardiovasc Pharmacol       Date:  2011-07       Impact factor: 3.105

3.  Pediatric antihypertensive trial failures: analysis of end points and dose range.

Authors:  Daniel K Benjamin; P Brian Smith; Pravin Jadhav; Jogarao V Gobburu; M Dianne Murphy; Vic Hasselblad; Carissa Baker-Smith; Robert M Califf; Jennifer S Li
Journal:  Hypertension       Date:  2008-03-10       Impact factor: 10.190

  3 in total
  1 in total

1.  Population pharmacokinetic and exposure-response analysis of eptinezumab in the treatment of episodic and chronic migraine.

Authors:  Brian Baker; Barbara Schaeffler; Martin Beliveau; Igor Rubets; Susan Pederson; MyMy Trinh; Jeff Smith; John Latham
Journal:  Pharmacol Res Perspect       Date:  2020-04
  1 in total

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