Pharmacokinetic/Pharmacodynamic Modeling in Drug Development

Фармакокинетическое/фармакодинамическое моделирование в разработке лекарственных препаратов
Lewis B. Sheiner, Jean‐Louis Steimer
2000-04-01

clinical trial planningdrug developmentmodel-based meta-analysispharmacokinetic/pharmacodynamic modelingstatistical models
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.
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Modeling primarily enhances drug-development learning by acquiring information needed for labeling decisions and efficient confirmatory-trial planning.
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Subject-matter pharmacokinetic/pharmacodynamic models determine the appropriate statistical models for analyzing drug-development data.
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The authors argue that modeling requires a visible, separate work unit within development programs to realize its full utility.
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The paper proposes a framework for evaluating pharmacokinetic/pharmacodynamic modeling’s current and potential impact on drug development.
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They propose the “in numero” study: a protocol-driven, integrated model-based meta-analysis of existing raw data, often pooled across clinical studies, to answer specific development questions.

pharmacokinetic/pharmacodynamic modeling in drug development

the role, impact, and application of pharmacokinetic/pharmacodynamic modeling for learning, information extraction, and efficient planning of confirmatory clinical trials

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2000-04-01
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Authors
Lewis B. Sheiner
Jean‐Louis Steimer
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