Literature DB >> 18199891

Leveraging prior quantitative knowledge to guide drug development decisions and regulatory science recommendations: impact of FDA pharmacometrics during 2004-2006.

Yaning Wang1, A Venkatesh Bhattaram, Pravin R Jadhav, Lawrence J Lesko, Rajanikanth Madabushi, J Robert Powell, Wei Qiu, He Sun, Dong S Yim, Jenny J Zheng, Jogarao V S Gobburu.   

Abstract

The End-of-Phase 2A meetings are proposed to identify opportunities to make innovative medical products available sooner and to increase the quality of drug applications through early meetings between sponsors and the FDA. This article summarizes the overall experience across 11 pilot End-of-Phase 2A meetings since 2004. Four case studies are presented in more detail to demonstrate the various issues and methods encountered at these meetings. Overall, industry and FDA scientists ranked these meetings to be "very helpful" (average score of 4 on a scale of 1 to 5). In almost all the instances the sponsors changed their drug development plans subsequent to these extensive quantitative analyses-based meetings. A draft Guidance is being developed to be issued in 2008, and we hope this initiative will be resourced by then.

Mesh:

Year:  2008        PMID: 18199891     DOI: 10.1177/0091270007311111

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN: 0091-2700            Impact factor:   3.126


  21 in total

Review 1.  Quantitative clinical pharmacology is transforming drug regulation.

Authors:  Carl C Peck
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-10-27       Impact factor: 2.745

2.  Population pharmacokinetic-pharmacodynamic-disease progression model for effects of anakinra in Lewis rats with collagen-induced arthritis.

Authors:  Dongyang Liu; Hoi-Kei Lon; Debra C Dubois; Richard R Almon; William J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-10-16       Impact factor: 2.745

3.  Evaluating optimal therapy robustness by virtual expansion of a sample population, with a case study in cancer immunotherapy.

Authors:  Syndi Barish; Michael F Ochs; Eduardo D Sontag; Jana L Gevertz
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-17       Impact factor: 11.205

4.  Concepts and challenges in quantitative pharmacology and model-based drug development.

Authors:  Liping Zhang; Marc Pfister; Bernd Meibohm
Journal:  AAPS J       Date:  2008-11-12       Impact factor: 4.009

5.  Evaluation of false positive rate based on exposure-response analyses for two compounds in fixed-dose combination products.

Authors:  Hao Zhu; Yaning Wang
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-09-06       Impact factor: 2.745

6.  From in vitro EC₅₀ to in vivo dose-response for antiretrovirals using an HIV disease model. Part I: a framework.

Authors:  Jing Fang; Pravin R Jadhav
Journal:  J Pharmacokinet Pharmacodyn       Date:  2012-06-27       Impact factor: 2.745

7.  The clinical utility of pharmacometric models.

Authors:  Shaun S Kumar; Eman Biltaji; Robert Bies; Catherine M Sherwin
Journal:  Br J Clin Pharmacol       Date:  2018-05-02       Impact factor: 4.335

8.  The Creating an Optimal Warfarin Nomogram (CROWN) Study.

Authors:  Todd S Perlstein; Samuel Z Goldhaber; Kerrie Nelson; Victoria Joshi; T Vance Morgan; Lawrence J Lesko; Joo-Yeon Lee; Jogarao Gobburu; David Schoenfeld; Raju Kucherlapati; Mason W Freeman; Mark A Creager
Journal:  Thromb Haemost       Date:  2011-11-24       Impact factor: 5.249

9.  Demonstrating Contribution of Components of Fixed-Dose Drug Combinations Through Longitudinal Exposure-Response Analysis.

Authors:  Asbjørn Nøhr-Nielsen; Theis Lange; Julie Lyng Forman; Theodoros Papathanasiou; David J R Foster; Richard N Upton; Ole Jannik Bjerrum; Trine Meldgaard Lund
Journal:  AAPS J       Date:  2020-01-27       Impact factor: 4.009

10.  Pharmacokinetics, pharmacodynamics and toxicities of methotrexate in healthy and collagen-induced arthritic rats.

Authors:  Dong-Yang Liu; Hoi-Kei Lon; Yan-Lin Wang; Debra C DuBois; Richard R Almon; William J Jusko
Journal:  Biopharm Drug Dispos       Date:  2013-04-07       Impact factor: 1.627

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