Literature DB >> 2684474

An evaluation of population pharmacokinetics in therapeutic trials. Part III. Prospective data collection versus retrospective data assembly.

E J Antal1, T H Grasela, R B Smith.   

Abstract

The ability to estimate population pharmacokinetic parameters of alprazolam from fragmentary clinical data collected during clinical efficacy trials was evaluated in this series of studies. In the first study modifications to the protocol and case report forms were employed to allow for the prospective collection of accurate dosing and blood sampling time data. In the second study only total daily dose and measured drug concentration data were recorded. Dosage and blood sampling time data were assembled retrospectively by assuming strict adherence to protocol guidelines. Comparisons of the results of these analyses demonstrate the marked impact of prospective data collection efforts on data quality and the ability to determine subsequent pharmacokinetic parameters. Analysis of the prospectively collected data yielded pharmacokinetic estimates for alprazolam that were nearly identical to previously reported values obtained according to traditional methods, whereas the analysis of retrospectively collected data yielded biased estimates of the mean pharmacokinetic parameters and markedly upward biased estimates of both interindividual and residual variability. These analyses demonstrate the ability to estimate population pharmacokinetic parameters from data collected during clinical efficacy trials, provided that critical issues pertaining to the design and use of data collection forms to enhance data quality and the education of patients and staff are satisfactorily addressed.

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Year:  1989        PMID: 2684474     DOI: 10.1038/clpt.1989.185

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  13 in total

1.  Population pharmacokinetics of ceftazidime in burn patients.

Authors:  Eric Dailly; Michel Pannier; Pascale Jolliet; Michel Bourin
Journal:  Br J Clin Pharmacol       Date:  2003-12       Impact factor: 4.335

2.  An evaluation of point and interval estimates in population pharmacokinetics using NONMEM analysis.

Authors:  D B White; C A Walawander; Y Tung; T H Grasela
Journal:  J Pharmacokinet Biopharm       Date:  1991-02

Review 3.  Challenges in the transition to model-based development.

Authors:  Thaddeus H Grasela; Jill Fiedler-Kelly; Cynthia A Walawander; Joel S Owen; Brenda B Cirincione; Kathleen E Reitz; Elizabeth A Ludwig; Julie A Passarell; Charles W Dement
Journal:  AAPS J       Date:  2005-10-05       Impact factor: 4.009

4.  Informatics: the fuel for pharmacometric analysis.

Authors:  Thaddeus H Grasela; Jill Fiedler-Kelly; Brenda Cirincione; Darcy Hitchcock; Kathleen Reitz; Susanne Sardella; Barry Smith
Journal:  AAPS J       Date:  2007-03-09       Impact factor: 4.009

Review 5.  Integrated pharmacokinetics and pharmacodynamics in drug development.

Authors:  Jasper Dingemanse; Silke Appel-Dingemanse
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

6.  Assumption testing in population pharmacokinetic models: illustrated with an analysis of moxonidine data from congestive heart failure patients.

Authors:  M O Karlsson; E N Jonsson; C G Wiltse; J R Wade
Journal:  J Pharmacokinet Biopharm       Date:  1998-04

Review 7.  Expanding clinical applications of population pharmacodynamic modelling.

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

8.  Do we need full compliance data for population pharmacokinetic analysis?

Authors:  P Girard; L B Sheiner; H Kastrissios; T F Blaschke
Journal:  J Pharmacokinet Biopharm       Date:  1996-06

9.  Effect of misspecification of the absorption process on subsequent parameter estimation in population analysis.

Authors:  J R Wade; A W Kelman; C A Howie; B Whiting
Journal:  J Pharmacokinet Biopharm       Date:  1993-04

10.  Interaction between structural, statistical, and covariate models in population pharmacokinetic analysis.

Authors:  J R Wade; S L Beal; N C Sambol
Journal:  J Pharmacokinet Biopharm       Date:  1994-04
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