Literature DB >> 11735607

Utilisation of pharmacokinetic-pharmacodynamic modelling and simulation in regulatory decision-making.

J V Gobburu1, P J Marroum.   

Abstract

Modelling and simulation (M&S) play an important role in regulatory decision-making that affects both the public and industry. Technological advances in various fields related to drug development call for more focus on ways to optimise current drug development practices. Recognition of the potential of M&S by regulatory agencies inevitably has a substantial impact on drug development. The objective of the current review is to present the various regulatory initiatives for application of M&S to clinical drug development. The relevant parts of the various recommendations issued by the US Food and Drug Administration (FDA), via guidance documents and advisory committee meeting proceedings, are highlighted. Application of M&S to a variety of activities, such as integrating pharmacokinetic-pharmacodynamic knowledge across a new drug application and designing efficient trials, is discussed. Some of the challenges that pharmaceutical institutions currently face when implementing M&S projects, such as team structure, communication with regulators, training and time constraints, are also presented, and solutions are proposed.

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Year:  2001        PMID: 11735607     DOI: 10.2165/00003088-200140120-00001

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  26 in total

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Journal:  Adv Drug Deliv Rev       Date:  1998-09-07       Impact factor: 15.470

Review 2.  A regulatory perspective on pharmacokinetic/pharmacodynamic modelling.

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Journal:  Biometrics       Date:  2000-09       Impact factor: 2.571

5.  Bootstrap approach for constructing confidence intervals for population pharmacokinetic parameters. I: A use of bootstrap standard error.

Authors:  A Yafune; M Ishiguro
Journal:  Stat Med       Date:  1999-03-15       Impact factor: 2.373

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Journal:  Stat Med       Date:  1991-03       Impact factor: 2.373

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Journal:  Proc Natl Acad Sci U S A       Date:  1992-12-01       Impact factor: 11.205

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  19 in total

1.  Application of resampling techniques to estimate exact significance levels for covariate selection during nonlinear mixed effects model building: some inferences.

Authors:  Jogarao V S Gobburu; John Lawrence
Journal:  Pharm Res       Date:  2002-01       Impact factor: 4.200

Review 2.  Pharmacokinetic-pharmacodynamic guided trial design in oncology.

Authors:  Ch van Kesteren; R A A Mathôt; J H Beijnen; J H M Schellens
Journal:  Invest New Drugs       Date:  2003-05       Impact factor: 3.850

3.  Urinary excretion: does it accurately reflect relative differences in bioavailability/systemic exposure when renal clearance is nonlinear?

Authors:  Gary A Thompson; Roger D Toothaker
Journal:  Pharm Res       Date:  2004-05       Impact factor: 4.200

4.  Population pharmacokinetics and pharmacodynamics of bivalirudin in young healthy Chinese volunteers.

Authors:  Dong-mei Zhang; Kun Wang; Xia Zhao; Yun-fei Li; Qing-shan Zheng; Zi-ning Wang; Yi-min Cui
Journal:  Acta Pharmacol Sin       Date:  2012-06-04       Impact factor: 6.150

5.  Model-based drug development: the road to quantitative pharmacology.

Authors:  Liping Zhang; Vikram Sinha; S Thomas Forgue; Sophie Callies; Lan Ni; Richard Peck; Sandra R B Allerheiligen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-06-13       Impact factor: 2.745

Review 6.  Overview of model-building strategies in population PK/PD analyses: 2002-2004 literature survey.

Authors:  C Dartois; K Brendel; E Comets; C M Laffont; C Laveille; B Tranchand; F Mentré; A Lemenuel-Diot; P Girard
Journal:  Br J Clin Pharmacol       Date:  2007-08-15       Impact factor: 4.335

Review 7.  Integrated pharmacokinetics and pharmacodynamics in drug development.

Authors:  Jasper Dingemanse; Silke Appel-Dingemanse
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

8.  Not-in-trial simulation I: Bridging cardiovascular risk from clinical trials to real-life conditions.

Authors:  Anne S Y Chain; Jeanne P Dieleman; Charlotte van Noord; Albert Hofman; Bruno H Ch Stricker; Meindert Danhof; Miriam C J M Sturkenboom; Oscar Della Pasqua
Journal:  Br J Clin Pharmacol       Date:  2013-12       Impact factor: 4.335

Review 9.  The role of concentration-effect relationships in the assessment of QTc interval prolongation.

Authors:  Nicholas P France; Oscar Della Pasqua
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

Review 10.  Mechanisms underlying food-drug interactions: inhibition of intestinal metabolism and transport.

Authors:  Christina S Won; Nicholas H Oberlies; Mary F Paine
Journal:  Pharmacol Ther       Date:  2012-08-04       Impact factor: 12.310

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