Literature DB >> 8906893

The use of population pharmacokinetics in drug development.

S Vozeh1, J L Steimer, M Rowland, P Morselli, F Mentre, L P Balant, L Aarons.   

Abstract

Currently, there is an increasing focus on the implementation of pharmacokinetic-pharmacodynamic (PK-PD) studies and modelling as essential tools for drug development. Strategies involving specifically the population approach, which are based on relatively recent statistical methodology (e.g. nonlinear mixed effects modelling, NONMEM) have been advocated for investigating pharmacokinetic and pharmacodynamic variability as well as dose-concentration-effect relationships. The present article outlines this approach, and discusses how it can be implemented within the framework of the studies currently performed as part of the clinical phases of new drug development. It also considers study design and performance, based on real-life experiences. Population approaches, if designed carefully and early, as part of the planning of the drug development programme, are expected to play a significant role at every phase of the programme and to contribute to providing information that is valuable for registration purposes. Statistical methodology and software are now widely available. However, practical issues such as integration of the population approach within existing protocols, quality control of the data, timing of laboratory and statistical analyses, as well as resource allocation, remain legitimate concerns to be considered in prospective studies.

Mesh:

Year:  1996        PMID: 8906893     DOI: 10.2165/00003088-199630020-00001

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


  21 in total

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Authors:  P D Kroboth; V D Schmith; R B Smith
Journal:  Clin Pharmacokinet       Date:  1991-02       Impact factor: 6.447

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Journal:  Eur J Clin Pharmacol       Date:  1996       Impact factor: 2.953

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Journal:  J Pharmacokinet Biopharm       Date:  1977-10

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Authors:  F Mentré; R Gomeni
Journal:  J Biopharm Stat       Date:  1995-07       Impact factor: 1.051

5.  Population pharmacokinetic/pharmacodynamic methodology and applications: a bibliography.

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Journal:  Biometrics       Date:  1994-06       Impact factor: 2.571

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Journal:  Fed Proc       Date:  1980-01

Review 7.  Pharmacodynamics in cancer therapy.

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Journal:  J Clin Oncol       Date:  1990-10       Impact factor: 44.544

8.  Results and validation of a population pharmacodynamic model for cognitive effects in Alzheimer patients treated with tacrine.

Authors:  N H Holford; K E Peace
Journal:  Proc Natl Acad Sci U S A       Date:  1992-12-01       Impact factor: 11.205

9.  Population dose versus response of betaxolol and atenolol: a comparison of potency and variability.

Authors:  N C Sambol; L B Sheiner
Journal:  Clin Pharmacol Ther       Date:  1991-01       Impact factor: 6.875

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Authors:  L B Sheiner; S L Beal; N C Sambol
Journal:  Clin Pharmacol Ther       Date:  1989-07       Impact factor: 6.875

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  33 in total

1.  Robust optimal design for the estimation of hyperparameters in population pharmacokinetics.

Authors:  M Tod; F Mentré; Y Merlé; A Mallet
Journal:  J Pharmacokinet Biopharm       Date:  1998-12

2.  Impact of population pharmacokinetic-pharmacodynamic analyses on the drug development process: experience at Parke-Davis.

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Journal:  Clin Pharmacokinet       Date:  2000-05       Impact factor: 6.447

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

Review 4.  Pharmacokinetically guided administration of chemotherapeutic agents.

Authors:  H J van den Bongard; R A Mathôt; J H Beijnen; J H Schellens
Journal:  Clin Pharmacokinet       Date:  2000-11       Impact factor: 6.447

5.  Assessment of actual significance levels for covariate effects in NONMEM.

Authors:  U Wählby; E N Jonsson; M O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2001-06       Impact factor: 2.745

Review 6.  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

7.  Population pharmacokinetic and dynamic analysis of the topoisomerase I inhibitor lurtotecan in phase II studies.

Authors:  J H M Schellens; B Heinrich; M Lehnert; M E Gore; S B Kaye; P Dombernowsky; R Paridaens; A T van Oosterom; J Verweij; W J Loos; H Calvert; N Pavlidis; H Cortes-Funes; J Wanders; M Roelvink; C Sessa; K Selinger; P S Wissel; T Gamucci; A R Hanauske
Journal:  Invest New Drugs       Date:  2002-02       Impact factor: 3.850

8.  Analyzing rich data using different methods provided by NONMEM: pharmacokinetics of telmisartan following intravenous infusion to healthy volunteers.

Authors:  G C Wallenstein; J Stangier; T M Ludden
Journal:  Pharm Res       Date:  1999-05       Impact factor: 4.200

9.  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 10.  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

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