title: Role of population pharmacokinetics in drug development. A pharmaceutical industry perspective.
abstract: Population pharmacokinetic analysis is a relatively new approach which can be used to obtain important pharmacokinetic and pharmacodynamic information from sparse data sets routinely obtained in phase II and III clinical trials, these studies typically have many patients but few observations per patient. Similarly, this approach is beneficial for studies in which intensive blood sampling is not attainable, such as in children and patients with cancer and AIDS. It was not until the late 1980s and the early 1990s that this approach (which had been introduced by Sheiner and Beal approximately 20 years earlier) gained appreciable momentum. Today many pharmaceutical companies use this approach routinely, to differing extents, during their drug development process. Advocacy by the US Food and Drug Administration for pharmacokinetic screening during phase II and III studies was an important factor in the widespread adoption of this approach. A second factor was the gradual realisation that the approach can be cost effective in revealing clinically important information about the determinants of interpatient pharmacokinetic and pharmacodynamic variability in treated patients. However, several important issues remain to be resolved (such as the optimal study design, quality of the data and user-friendly software) which could determine the future role of the population approach in drug development.
authors.affiliation: Department of Pharmacokinetics and Biopharmaceutics, Abbott Laboratories, Abbott Park, Illinois, USA. emil.e.samara@abbott.com
authors.forename: E
authors.initials: E
authors.lastname: Samara
authors.forename: R
authors.initials: R
authors.lastname: Granneman
mesh_terms: D000818:Animals; D002985:Clinical Protocols; D017322:Clinical Trials, Phase II as Topic; D017326:Clinical Trials, Phase III as Topic; D015331:Cohort Studies; D003362:Cost-Benefit Analysis; D015195:Drug Design; D006801:Humans; D008956:Models, Chemical; D010599:Pharmacokinetics; D011358:Product Surveillance, Postmarketing; D012107:Research Design; D012189:Retrospective Studies; D013223:Statistics as Topic