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Related Concept Videos

Bioequivalence Data: Statistical Interpretation01:16

Bioequivalence Data: Statistical Interpretation

The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Equivalence: In Vitro and In Vivo Bioequivalence01:17

Equivalence: In Vitro and In Vivo Bioequivalence

Bioequivalence studies are crucial in evaluating whether new drugs can match an approved one regarding pharmacological effects and clinical performance. These studies test if drugs, despite different dosage forms, share identical plasma concentration-time profiles. Three types of equivalence are central to these studies: chemical, pharmaceutical, and therapeutic. Chemical equivalence indicates that two or more drug products contain identical active ingredients in equal amounts. Pharmaceutical...
Bioequivalence of Drugs: Drugs with Multiple Indications01:09

Bioequivalence of Drugs: Drugs with Multiple Indications

The concept of therapeutic equivalence (TE) in drugs with multiple indications is complex. A generic drug may be therapeutically equivalent to a brand-name product for one specific indication, but this doesn't necessarily mean it's equivalent for all other indications. Evidence of TE in one patient group and bioequivalence shown in healthy volunteers can support—but not confirm—TE for other indications. However, definitive proof requires individual clinical studies for each indication due to...
Bioequivalence: Overview01:16

Bioequivalence: Overview

Pharmaceutical equivalents, by definition, are drug products with the same active ingredient in the same quantities, encapsulated in identical dosage forms, and intended for the same administration routes. These pharmaceutical equivalents are deemed bioequivalent if the bioavailability of the active entity in the drug preparations is similar. Moreover, pharmaceutical equivalents demonstrating bioequivalence are also regarded as therapeutically equivalent. This means that when used as directed,...
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...

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Assessing equivalence and noninferiority.

Jonathan R Treadwell1, Stacey Uhl, Kelley Tipton

  • 1Evidence-based Practice Center, ECRI Institute, Plymouth Meeting, PA, USA. jtreadwell@ecri.org

Journal of Clinical Epidemiology
|June 27, 2012
PubMed
Summary

This study provides guidance for systematic reviews on equivalence (EQ) and noninferiority (NI) conclusions. It addresses risk of bias, minimum important difference, analytic methods, and language for valid EQ-NI trial assessments.

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Area of Science:

  • Medical research methodology
  • Evidence-based practice
  • Systematic review methods

Background:

  • Systematic reviews lack established methods for equivalence (EQ) and noninferiority (NI) conclusions.
  • This gap hinders the validity of comparative effectiveness research.

Purpose of the Study:

  • To develop guidance for systematic reviews on methods supporting valid EQ and NI conclusions.
  • To address critical issues in conducting and interpreting EQ-NI trials within systematic reviews.

Main Methods:

  • Convened a workgroup of 13 experienced systematic reviewers from evidence-based practice centers (EPCs) and AHRQ.
  • Conducted preparatory methods projects to define scope and summarize the state of the art.

Main Results:

  • Devised guidance based on expert opinion in four key areas.
  • Guidance covers unique risk of bias for EQ-NI trials, setting the minimum important difference, analytic foundations, and language for conclusions.

Conclusions:

  • The article summarizes key recommendations for systematic reviews on EQ and NI.
  • Full guidance is available on the AHRQ website to improve the quality of EQ-NI trial assessments.