Literature DB >> 1454835

Methodologic aspects of a population pharmacodynamic model for cognitive effects in Alzheimer patients treated with tacrine.

N H Holford1, K E Peace.   

Abstract

Tacrine is a cholinesterase inhibitor with activity in the central nervous system originally marketed for the reversal of competitive neuromuscular blockade. Because a marked reduction in cholinergic neurons is a hallmark of brain changes in Alzheimer disease, tacrine has been studied in two placebo-controlled clinical trials of patients with probable Alzheimer disease. Standard analysis of variance (ANOVA) and analysis of covariance (ANCOVA) have shown a difference between the tacrine group and the placebo group in terms of the cognitive component of the Alzheimer disease assessment scale at the end of the placebo-controlled phase. Due to limitations of ANOVA and ANCOVA, only a selected group of patients could be analyzed by those methods. A population pharmacodynamic model has been developed that allows the use of all observations from one or more trials to be combined. It can incorporate any sequence of active or placebo treatments and account for carryover effects of both placebo and active drug. The time courses of active or placebo treatment response and the development of tolerance to active drug or placebo can be defined. The model describes disease progression without treatment, the placebo effect, and the effect of tacrine as a function of daily dose. Placebo effect and active drug effects are modeled by effect site concentration components.

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Year:  1992        PMID: 1454835      PMCID: PMC50572          DOI: 10.1073/pnas.89.23.11466

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  7 in total

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Authors:  L B Sheiner
Journal:  Clin Pharmacol Ther       Date:  1989-12       Impact factor: 6.875

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Authors:  D R Forsyth; G K Wilcock; R A Morgan; C A Truman; J M Ford; C J Roberts
Journal:  Clin Pharmacol Ther       Date:  1989-12       Impact factor: 6.875

Review 4.  Understanding the dose-effect relationship: clinical application of pharmacokinetic-pharmacodynamic models.

Authors:  N H Holford; L B Sheiner
Journal:  Clin Pharmacokinet       Date:  1981 Nov-Dec       Impact factor: 6.447

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Authors:  K L Davis; L J Thal; E R Gamzu; C S Davis; R F Woolson; S I Gracon; D A Drachman; L S Schneider; P J Whitehouse; T M Hoover
Journal:  N Engl J Med       Date:  1992-10-29       Impact factor: 91.245

6.  A new rating scale for Alzheimer's disease.

Authors:  W G Rosen; R C Mohs; K L Davis
Journal:  Am J Psychiatry       Date:  1984-11       Impact factor: 18.112

7.  Oral tetrahydroaminoacridine in long-term treatment of senile dementia, Alzheimer type.

Authors:  W K Summers; L V Majovski; G M Marsh; K Tachiki; A Kling
Journal:  N Engl J Med       Date:  1986-11-13       Impact factor: 91.245

  7 in total
  35 in total

1.  A brief introduction to Monte Carlo simulation.

Authors:  P L Bonate
Journal:  Clin Pharmacokinet       Date:  2001-01       Impact factor: 6.447

2.  Holford NHG and Sheiner LB "Understanding the Dose-Effect Relationship-Clinical Application of Pharmacokinetic-Pharmacodynamic Models", Clin Pharmacokin 6:429-453 (1981)-The Backstory.

Authors:  Nick Holford
Journal:  AAPS J       Date:  2011-10-18       Impact factor: 4.009

3.  Model-based determination of abatacept exposure in support of the recommended dose for Japanese rheumatoid arthritis patients.

Authors:  Mayumi Hasegawa; Yasuhiko Imai; Masaki Hiraoka; Kiyomi Ito; Amit Roy
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-10-15       Impact factor: 2.745

Review 4.  How modeling and simulation have enhanced decision making in new drug development.

Authors:  Raymond Miller; Wayne Ewy; Brian W Corrigan; Daniele Ouellet; David Hermann; Kenneth G Kowalski; Peter Lockwood; Jeffrey R Koup; Sean Donevan; Ayman El-Kattan; Cheryl S W Li; John L Werth; Douglas E Feltner; Richard L Lalonde
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-11-07       Impact factor: 2.745

5.  Mechanism-based pharmacokinetic-pharmacodynamic modeling-a new classification of biomarkers.

Authors:  Meindert Danhof; Gunnar Alvan; Svein G Dahl; Jochen Kuhlmann; Gilles Paintaud
Journal:  Pharm Res       Date:  2005-08-24       Impact factor: 4.200

6.  The future is now: model-based clinical trial design for Alzheimer's disease.

Authors:  K Romero; K Ito; J A Rogers; D Polhamus; R Qiu; D Stephenson; R Mohs; R Lalonde; V Sinha; Y Wang; D Brown; M Isaac; S Vamvakas; R Hemmings; L Pani; L J Bain; B Corrigan
Journal:  Clin Pharmacol Ther       Date:  2014-12-27       Impact factor: 6.875

7.  Disease progression and pharmacodynamics in Parkinson disease - evidence for functional protection with levodopa and other treatments.

Authors:  Nicholas H G Holford; Phylinda L S Chan; John G Nutt; Karl Kieburtz; Ira Shoulson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-04-20       Impact factor: 2.745

8.  A mechanism-based disease progression model for comparison of long-term effects of pioglitazone, metformin and gliclazide on disease processes underlying Type 2 Diabetes Mellitus.

Authors:  Willem de Winter; Joost DeJongh; Teun Post; Bart Ploeger; Richard Urquhart; Ian Moules; David Eckland; Meindert Danhof
Journal:  J Pharmacokinet Pharmacodyn       Date:  2006-03-22       Impact factor: 2.745

Review 9.  Clinical pharmacology = disease progression + drug action.

Authors:  Nick Holford
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

10.  Population pharmacodynamics of romazarit.

Authors:  N H Holford; P E Williams; G J Muirhead; A Mitchell; A York
Journal:  Br J Clin Pharmacol       Date:  1995-03       Impact factor: 4.335

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