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Related Experiment Videos

Scale effect in bioequivalence evaluations

Y Wang1, O Eradiri, I Odidi

  • 1Research and Development Division, Biovail Corporation International, Mississauga, ON, Canada.

International Journal of Clinical Pharmacology and Therapeutics
|November 3, 1998
PubMed
Summary

This study examines how sample mean magnitudes affect bioequivalence test-reference ratios. Increasing dosage strength generally improves ratios, but correlated sampling deviations can alter results, especially for low bioavailability drugs.

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Area of Science:

  • Pharmacokinetics and Drug Development
  • Statistical Analysis in Clinical Trials
  • Bioequivalence Study Design

Background:

  • Bioequivalence evaluations are crucial for generic drug approval.
  • Understanding factors influencing the ratio of sample means is essential for accurate assessments.
  • Dosage strength and sampling variability can impact bioequivalence outcomes.

Purpose of the Study:

  • To investigate the relationship between the magnitude of sample means and the test-reference ratio in bioequivalence.
  • To analyze the scale effect of dosage strength on bioavailability measures.
  • To quantify the impact of correlated sampling deviation on the test-reference ratio.

Main Methods:

  • Utilized crossover trial data for test and reference drug products.

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  • Modeled the true test-reference ratio as a function of dosage strength and dose-response relationships.
  • Employed deterministic simulation to assess the scale effect of correlated sampling deviation.

    • Main Results:

    • Dosage strength, dose-response relationships, and correlated sampling deviation are key factors influencing sample means.
    • Increasing dosage strength generally improves true test-reference ratios, albeit at a decreasing rate.
    • Correlated sampling deviation significantly alters test-reference ratios, particularly for drugs with low bioavailability.

    Conclusions:

    • For extended-release products, focus development on the lowest strength if formulation-by-dose interaction is minimal.
    • Conduct pilot studies for both highest and lowest strengths to detect formulation-by-dose interactions.
    • Reference drug product mean magnitudes can signal systematic variations; consider repeating trials if means are unexpectedly low.