Literature DB >> 15507495

Population pharmacokinetics III: design, analysis, and application of population pharmacokinetic Studies.

Ene I Ette1, Paul J Williams, James R Lane.   

Abstract

OBJECTIVE: To present a framework within which population pharmacokinetic (PPK) studies should be designed and analyzed and discuss the application of developed PPK models.
METHODS: Information on PPK was retrieved from a MEDLINE search (1979-December 2003) of the literature and a bibliographic evaluation of review articles and books. This information is used in conjunction with experience to explain the design and analysis of PPK studies. Also, examples are included to demonstrate the usefulness of PPK. SYNTHESIS: A great deal of thought must be given to the design and analysis of PPK studies (ie, development of PPK models). Models are of 2 primary types--descriptive and predictive--and the process applied to these models is necessarily different. An approach that ensures model applicability is presented.
CONCLUSIONS: PPK models have great utility, and the applications are many. They are very different from single-subject pharmacokinetic models and therefore require different approaches to model estimation.

Mesh:

Substances:

Year:  2004        PMID: 15507495     DOI: 10.1345/aph.1E260

Source DB:  PubMed          Journal:  Ann Pharmacother        ISSN: 1060-0280            Impact factor:   3.154


  27 in total

Review 1.  Interpreting population pharmacokinetic-pharmacodynamic analyses - a clinical viewpoint.

Authors:  Stephen B Duffull; Daniel F B Wright; Helen R Winter
Journal:  Br J Clin Pharmacol       Date:  2011-06       Impact factor: 4.335

Review 2.  Overview of model-building strategies in population PK/PD analyses: 2002-2004 literature survey.

Authors:  C Dartois; K Brendel; E Comets; C M Laffont; C Laveille; B Tranchand; F Mentré; A Lemenuel-Diot; P Girard
Journal:  Br J Clin Pharmacol       Date:  2007-08-15       Impact factor: 4.335

Review 3.  Population pharmacokinetics and pharmacodynamics for treatment optimization in clinical oncology.

Authors:  Anthe S Zandvliet; Jan H M Schellens; Jos H Beijnen; Alwin D R Huitema
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

4.  Penetration of antibacterials into bone: what do we really need to know for optimal prophylaxis and treatment of bone and joint infections?

Authors:  Federico Pea
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

Review 5.  The role of population PK-PD modelling in paediatric clinical research.

Authors:  Roosmarijn F W De Cock; Chiara Piana; Elke H J Krekels; Meindert Danhof; Karel Allegaert; Catherijne A J Knibbe
Journal:  Eur J Clin Pharmacol       Date:  2010-03-26       Impact factor: 2.953

6.  Tailoring care to haemophilia patients' needs: which specialty and when?

Authors:  Massimo Morfini; Gary Benson; Victor Jiménez-Yuste; Rolf Ljung; Pier Mannuccio Mannucci; Gianluigi Pasta; Eduardo Remor; Silva Zupančić Šalek
Journal:  Blood Transfus       Date:  2015-05-20       Impact factor: 3.443

7.  Limited-sampling strategies for anti-infective agents: systematic review.

Authors:  Denise A Sprague; Mary H H Ensom
Journal:  Can J Hosp Pharm       Date:  2009-09

8.  Quantifying the Exposure of Tapentadol Extended Release in Japanese Patients with Cancer Pain and Bridging Tapentadol Pharmacokinetics Across Populations Using a Modeling Approach.

Authors:  Liping Zhang; Xiaoyu Yan; Sayori Nobe; Peter Zannikos; Mila Etropolski; Partha Nandy
Journal:  Clin Drug Investig       Date:  2017-03       Impact factor: 2.859

9.  Estimation of pharmacokinetic parameters based on the patient-adjusted population data.

Authors:  Reza Mehvar
Journal:  Am J Pharm Educ       Date:  2006-10-15       Impact factor: 2.047

10.  Nonnucleoside reverse transcriptase inhibitor pharmacokinetics in a large unselected cohort of HIV-infected women.

Authors:  Monica Gandhi; Leslie Z Benet; Peter Bacchetti; Ann Kalinowski; Kathryn Anastos; Alan R Wolfe; Mary Young; Mardge Cohen; Howard Minkoff; Stephen J Gange; Ruth M Greenblatt
Journal:  J Acquir Immune Defic Syndr       Date:  2009-04-15       Impact factor: 3.731

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.