Generating Model Integrated Evidence for Generic Drug Development and Assessment

Clin Pharmacol Ther. 2019 Feb;105(2):338-349. doi: 10.1002/cpt.1282. Epub 2019 Jan 20.

Abstract

Quantitative methods and modeling (QMM) covers a broad spectrum of tool sets, of which physiologically based models and quantitative clinical pharmacology are most critical for generic drugs. QMM has been increasingly applied by the US Food and Drug Administration (FDA) to facilitating generic drug development and review, and has played a critical role in the modernization of bioequivalence (BE) assessment, especially for locally acting drug products, complex products of other types, and modified-release solid oral dosage forms. QMM has aided the development of novel BE methods, in vitro-only BE approaches, and risk-based evaluations. The future of QMM is model integrated evidence or virtual BE studies that can potentially provide pivotal information for generic drug approval. In summary, QMM is indispensable in modernizing generic drug development, BE assessment, and regulatory decision makings. Regulatory examples demonstrate how QMM can be used in modernizing generic drug development, addressing challenges in BE assessment, and supporting regulatory decision making.

MeSH terms

  • Dosage Forms
  • Drug Approval
  • Drug Development / methods*
  • Drug Industry
  • Drugs, Generic / pharmacokinetics
  • Drugs, Generic / standards*
  • Evidence-Based Medicine*
  • Humans
  • Legislation, Drug
  • Models, Theoretical*
  • Pharmacology, Clinical / standards*
  • Therapeutic Equivalency
  • United States
  • United States Food and Drug Administration

Substances

  • Dosage Forms
  • Drugs, Generic