Parametric and Nonparametric Methods in Population Pharmacokinetics: Experts' Discussion on Use, Strengths, and Limitations.

Détails

ID Serval
serval:BIB_E083EEFD4CCE
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Parametric and Nonparametric Methods in Population Pharmacokinetics: Experts' Discussion on Use, Strengths, and Limitations.
Périodique
Journal of clinical pharmacology
Auteur⸱e⸱s
Goutelle S., Woillard J.B., Buclin T., Bourguignon L., Yamada W., Csajka C., Neely M., Guidi M.
ISSN
1552-4604 (Electronic)
ISSN-L
0091-2700
Statut éditorial
Publié
Date de publication
02/2022
Peer-reviewed
Oui
Volume
62
Numéro
2
Pages
158-170
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Résumé
Population pharmacokinetics consists of analyzing pharmacokinetic (PK) data collected in groups of individuals. Population PK is widely used to guide drug development and to inform dose adjustment via therapeutic drug monitoring and model-informed precision dosing. There are 2 main types of population PK methods: parametric (P) and nonparametric (NP). The characteristics of P and NP population methods have been previously reviewed. The aim of this article is to answer some frequently asked questions that are often raised by scholars, clinicians, and researchers about P and NP population PK methods. The strengths and limitations of both approaches are explained, and the characteristics of the main software programs are presented. We also review the results of studies that compared the results of both approaches in the analysis of real data. This opinion article may be informative for potential users of population methods in PK and guide them in the selection and use of those tools. It also provides insights on future research in this area.
Mots-clé
Age Factors, Algorithms, Area Under Curve, Humans, Metabolic Clearance Rate, Models, Biological, Models, Statistical, Pharmacokinetics, Sex Factors, Software Design, MIDD (model-informed drug development), modeling and simulation, pharmacometrics, population pharmacokinetics, therapeutic drug monitoring
Pubmed
Web of science
Création de la notice
09/11/2021 12:11
Dernière modification de la notice
22/03/2022 7:35
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