Literature DB >> 10836128

Pharmacokinetic/pharmacodynamic modeling in drug development.

L B Sheiner1, J L Steimer.   

Abstract

We propose a framework for considering the role of pharmacokinetic/pharmacodynamic modeling in drug development and an appraisal of its current and potential impact on that activity. After some introduction, definitions, and background information on drug development, we discuss subject-matter models that underlie pharmacokinetic/pharmacodynamic modeling and show how they determine appropriate statistical models. We discuss the broad role modeling can play in drug development, enhancing primarily the "learning" steps, i.e. acquiring the information needed for the label and for planning efficient confirmatory clinical trials. Examples of past applications of modeling to drug development are presented in tabular form, followed by a discussion of some practical issues in application. Modeling will not reach its potential utility until it is manifest as a visible and separate work unit within a drug development program. We suggest that that work unit is the "in numero" study: a protocol-driven exercise designed to extract additional information, and/or answer a specific drug-development question, through an integrated model-based (meta-) analysis of existent raw data, often pooled across separate (clinical) studies.

Mesh:

Year:  2000        PMID: 10836128     DOI: 10.1146/annurev.pharmtox.40.1.67

Source DB:  PubMed          Journal:  Annu Rev Pharmacol Toxicol        ISSN: 0362-1642            Impact factor:   13.820


  93 in total

Review 1.  Optimizing the science of drug development: opportunities for better candidate selection and accelerated evaluation in humans.

Authors:  L J Lesko; M Rowland; C C Peck; T F Blaschke
Journal:  Pharm Res       Date:  2000-11       Impact factor: 4.200

Review 2.  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

Review 3.  Utilisation of pharmacokinetic-pharmacodynamic modelling and simulation in regulatory decision-making.

Authors:  J V Gobburu; P J Marroum
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

4.  Impact of omission or replacement of data below the limit of quantification on parameter estimates in a two-compartment model.

Authors:  Vincent Duval; Mats O Karlsson
Journal:  Pharm Res       Date:  2002-12       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.  Mechanistic models for myelosuppression.

Authors:  Lena E Friberg; Mats O Karlsson
Journal:  Invest New Drugs       Date:  2003-05       Impact factor: 3.850

Review 7.  Biomarkers, validation and pharmacokinetic-pharmacodynamic modelling.

Authors:  Wayne A Colburn; Jean W Lee
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

Review 8.  Is intent-to-treat analysis always (ever) enough?

Authors:  Lewis B Sheiner
Journal:  Br J Clin Pharmacol       Date:  2002-08       Impact factor: 4.335

Review 9.  Role of modelling and simulation: a European regulatory perspective.

Authors:  Siv Jönsson; Anja Henningsson; Monica Edholm; Tomas Salmonson
Journal:  Clin Pharmacokinet       Date:  2012-02-01       Impact factor: 6.447

Review 10.  Quantitative clinical pharmacology is transforming drug regulation.

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

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