Literature DB >> 11420897

The existence of sequence effect in cross-over bioequivalence trials.

E Zintzaras1.   

Abstract

A generic drug product (T) in order to be approved for marketing authorization a bioequivalence trial is required. In the trial the generic product is compared to the innovator product (R) in terms of the pharmacokinetic parameters AUC and Cmax. The regulatory requirement for bioequivalence is that the 90% confidence intervals for the ratio (T/R) of the generic to innovator product pharmacokinetic parameter averages lies within the limits (80%, 125%). The design of the trial is usually a two-period crossover. This design has the limitation that if the statistical analysis reveal significant sequence effect then the bioequivalence results may be biased and their interpretation is difficult. The sequence effect is confounding with the unequal residual effect and with the formulation by period interaction. Since the existence of the sequence effect questions the quality of the trial, the applicant should provide possible explanations and information on the subjects, the trial conditions, the clinical settings and the assay methodology. An additional statistical analysis on the data from the first period of the trial may support the bioequivalence. If it is proven that the sequence effect is a true effect then the generic may be approved for marketing authorization.

Mesh:

Year:  2000        PMID: 11420897     DOI: 10.1007/BF03192321

Source DB:  PubMed          Journal:  Eur J Drug Metab Pharmacokinet        ISSN: 0378-7966            Impact factor:   2.441


  3 in total

1.  Bioequivalence studies: biometrical concepts of alternative designs and pooled analysis.

Authors:  E Zintzaras; P Bouka
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1999 Jul-Sep       Impact factor: 2.441

2.  Presentation of results from bioequivalence studies.

Authors:  R Sauter; V W Steinijans; E Diletti; A Böhm; H U Schulz
Journal:  Int J Clin Pharmacol Ther Toxicol       Date:  1992-07

3.  The impact of outlying subjects on decision of bioequivalence.

Authors:  F Y Ki; J P Liu; W Wang; S C Chow
Journal:  J Biopharm Stat       Date:  1995-03       Impact factor: 1.051

  3 in total
  4 in total

1.  Biometrical evaluation of bioequivalence trials using a bootstrap individual direct curve comparison method.

Authors:  E Zintzaras; P Bouka; A Kowald
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2002 Jan-Mar       Impact factor: 2.441

2.  Statistical aspects of bioequivalence testing between two medicinal products.

Authors:  E Zintzaras
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2005 Jan-Jun       Impact factor: 2.441

3.  A bioequivalence study of levothyroxine tablets versus an oral levothyroxine solution in healthy volunteers.

Authors:  N Yannovits; E Zintzaras; A Pouli; G Koukoulis; S Lyberi; E Savari; S Potamianos; F Triposkiadis; I Stefanidis; E Zartaloudis; A Benakis
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2006 Apr-Jun       Impact factor: 2.441

4.  Quantitative methods and modeling to assess COVID-19-interrupted in vivo pharmacokinetic bioequivalence studies with two reference batches.

Authors:  Yuqing Gong; Kairui Feng; Peijue Zhang; Jieon Lee; Yuzhuo Pan; Zhen Zhang; Zhanglin Ni; Tao Bai; Miyoung Yoon; Bing Li; Carol Y Kim; Lanyan Fang; Liang Zhao
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-04-20
  4 in total

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