Literature DB >> 31137952

Pharmacometrics in Pediatrics.

Xiaoxi Liu1, Robert M Ward1.   

Abstract

Pharmacometrics have advanced from compartmental analysis to noncompartmental analysis and population pharmacokinetics that require complicated mathematical programs. These sophisticated mathematical analyses determine not only the usual pharmacometric measures of clearance and volume of distribution but also the effects of covariates on these measures. Although these analyses are very suitable to studies of small patient populations often encountered in pediatric studies, most pediatric clinicians have not been trained in how these analyses are conducted or the meaning of the results of these analyses expressed in terms of error measures and fixed and variable effects. In addition, clinicians may not be able to evaluate whether their patient population is adequately represented in the analysis. Thorough and clear descriptions of the methodology and the strengths and weaknesses of these analyses need to be published in journals read by clinicians.

Entities:  

Keywords:  clinical pediatrics; nonlinear mixed effects modeling; pediatric clinical trials; pediatric pharmacokinetics; population pharmacokinetics

Mesh:

Year:  2019        PMID: 31137952     DOI: 10.1177/2168479019851793

Source DB:  PubMed          Journal:  Ther Innov Regul Sci        ISSN: 2168-4790            Impact factor:   1.778


  3 in total

1.  Innovation and Opportunities in Pediatric Therapeutic Development.

Authors:  Susan McCune; Ronald J Portman
Journal:  Ther Innov Regul Sci       Date:  2019-09       Impact factor: 1.778

Review 2.  Pharmacometrics: The Already-Present Future of Precision Pharmacology.

Authors:  Lorena Cera Bandeira; Leonardo Pinto; Cláudia Martins Carneiro
Journal:  Ther Innov Regul Sci       Date:  2022-08-18       Impact factor: 1.337

Review 3.  Developmental Pharmacodynamics and Modeling in Pediatric Drug Development.

Authors:  Laurie S Conklin; Eric P Hoffman; John van den Anker
Journal:  J Clin Pharmacol       Date:  2019-09       Impact factor: 3.126

  3 in total

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