Literature DB >> 35984633

Pharmacometrics: The Already-Present Future of Precision Pharmacology.

Lorena Cera Bandeira1, Leonardo Pinto2, Cláudia Martins Carneiro2.   

Abstract

The use of mathematical modeling to represent, analyze, make predictions or providing information on data obtained in drug research and development has made pharmacometrics an area of great prominence and importance. The main purpose of pharmacometrics is to provide information relevant to the search for efficacy and safety improvements in pharmacotherapy. Regulatory agencies have adopted pharmacometrics analysis to justify their regulatory decisions, making those decisions more efficient. Demand for specialists trained in the field is therefore growing. In this review, we describe the meaning, history, and development of pharmacometrics, analyzing the challenges faced in the training of professionals. Examples of applications in current use, perspectives for the future, and the importance of pharmacometrics for the development and growth of precision pharmacology are also presented.
© 2022. The Author(s), under exclusive licence to The Drug Information Association, Inc.

Entities:  

Keywords:  Modeling; Pharmacology; Pharmacometrics; Pharmacoterapy; Simulation

Year:  2022        PMID: 35984633     DOI: 10.1007/s43441-022-00439-4

Source DB:  PubMed          Journal:  Ther Innov Regul Sci        ISSN: 2168-4790            Impact factor:   1.337


  112 in total

1.  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

2.  Archimedes: a trial-validated model of diabetes.

Authors:  David M Eddy; Leonard Schlessinger
Journal:  Diabetes Care       Date:  2003-11       Impact factor: 19.112

Review 3.  Mechanism-based pharmacokinetic-pharmacodynamic modeling: biophase distribution, receptor theory, and dynamical systems analysis.

Authors:  Meindert Danhof; Joost de Jongh; Elizabeth C M De Lange; Oscar Della Pasqua; Bart A Ploeger; Rob A Voskuyl
Journal:  Annu Rev Pharmacol Toxicol       Date:  2007       Impact factor: 13.820

4.  Predictive biosimulation and virtual patients in pharmaceutical R and D.

Authors:  Alex Bangs
Journal:  Stud Health Technol Inform       Date:  2005

Review 5.  Pharmacometrics: a multidisciplinary field to facilitate critical thinking in drug development and translational research settings.

Authors:  Jeffrey S Barrett; Michael J Fossler; K David Cadieu; Marc R Gastonguay
Journal:  J Clin Pharmacol       Date:  2008-05       Impact factor: 3.126

Review 6.  Expanding clinical applications of population pharmacodynamic modelling.

Authors:  C Minto; T Schnider
Journal:  Br J Clin Pharmacol       Date:  1998-10       Impact factor: 4.335

Review 7.  Learning versus confirming in clinical drug development.

Authors:  L B Sheiner
Journal:  Clin Pharmacol Ther       Date:  1997-03       Impact factor: 6.875

Review 8.  Relevance of the application of pharmacokinetic-pharmacodynamic modelling concepts in drug development. The "wooden shoe' paradigm.

Authors:  D D Breimer; M Danhof
Journal:  Clin Pharmacokinet       Date:  1997-04       Impact factor: 6.447

Review 9.  Drug treatment effects on disease progression.

Authors:  P L Chan; N H Holford
Journal:  Annu Rev Pharmacol Toxicol       Date:  2001       Impact factor: 13.820

Review 10.  Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus.

Authors:  Cornelia B Landersdorfer; William J Jusko
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

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