Literature DB >> 9352398

Exploring clinical study design by computer simulation based on pharmacokinetic/pharmacodynamic modelling.

R Gieschke1, B G Reigner, J L Steimer.   

Abstract

Computer simulations have been successfully applied in various industries (e.g. automobile, aerospace) to make product development more efficient. Just recently, it was suggested to use simulations in support of clinical drug development for predicting clinical outcomes of planned trials. The methodological basis for this approach is provided by pharmacokinetic and pharmacodynamic mathematical models together with Monte Carlo techniques. In the present paper, the basic notions of clinical trial simulation are introduced and illustrated with the example of an oral anticancer drug. It is shown that computer simulation helps to evaluate consequences of design features on safety and efficacy assessment of the drug which are not easily obtained otherwise. An overview of existing simulation resources with respect to training and software is provided.

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Year:  1997        PMID: 9352398

Source DB:  PubMed          Journal:  Int J Clin Pharmacol Ther        ISSN: 0946-1965            Impact factor:   1.366


  13 in total

1.  Pharmacometrics: modelling and simulation tools to improve decision making in clinical drug development.

Authors:  R Gieschke; J L Steimer
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2000 Jan-Mar       Impact factor: 2.441

Review 2.  Accounting for noncompliance in pharmacoeconomic evaluations.

Authors:  D A Hughes; A Bagust; A Haycox; T Walley
Journal:  Pharmacoeconomics       Date:  2001       Impact factor: 4.981

Review 3.  Economic evaluations during early (phase II) drug development: a role for clinical trial simulations?

Authors:  D A Hughes; T Walley
Journal:  Pharmacoeconomics       Date:  2001       Impact factor: 4.981

4.  Modeling of pharmacokinetic/pharmacodynamic (PK/PD) relationships: concepts and perspectives.

Authors:  H Derendorf; B Meibohm
Journal:  Pharm Res       Date:  1999-02       Impact factor: 4.200

Review 5.  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

Review 6.  Modelling and simulation in the development and use of anti-cancer agents: an underused tool?

Authors:  Ferdinand Rombout; Leon Aarons; Mats Karlsson; Anthony Man; France Mentré; Peter Nygren; Amy Racine; Hans Schaefer; Jean-Louis Steimer; Iñaki Troconiz; Achiel van Peer
Journal:  J Pharmacokinet Pharmacodyn       Date:  2004-12       Impact factor: 2.745

7.  Population pharmacokinetic model of the pregabalin-sildenafil interaction in rats: application of simulation to preclinical PK-PD study design.

Authors:  Gregor Bender; James Gosset; Jeff Florian; Keith Tan; Mark Field; Scott Marshall; Joost DeJongh; Robert Bies; Meindert Danhof
Journal:  Pharm Res       Date:  2009-08-11       Impact factor: 4.200

Review 8.  Clinical pharmacokinetic/pharmacodynamic and physiologically based pharmacokinetic modeling in new drug development: the capecitabine experience.

Authors:  Karen S Blesch; Ronald Gieschke; Yuko Tsukamoto; Bruno G Reigner; Hans U Burger; Jean-Louis Steimer
Journal:  Invest New Drugs       Date:  2003-05       Impact factor: 3.850

9.  Good Practices in Model-Informed Drug Discovery and Development: Practice, Application, and Documentation.

Authors:  S F Marshall; R Burghaus; V Cosson; S Y A Cheung; M Chenel; O DellaPasqua; N Frey; B Hamrén; L Harnisch; F Ivanow; T Kerbusch; J Lippert; P A Milligan; S Rohou; A Staab; J L Steimer; C Tornøe; S A G Visser
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-03-14

Review 10.  Facilitation of drug evaluation in children by population methods and modelling.

Authors:  Michel Tod; Vincent Jullien; Gérard Pons
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

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