Meta-analysis for bioequivalence review.
The problem of drug interchangeability among a brand-name drug and its generic copies is considered. Under current Food and Drug Administration (FDA) regulation, a patient may switch from the brand-name drug to a generic drug if the generic drug is shown to be bioequivalent to the brand-name drug based on bioequivalence testing. After the patent of a brand-name drug is expired, usually there will be a number of generic copies available on the market. The FDA does not indicate that a patient may switch from a generic to another even though both of the generic drugs are bioequivalent to the brand-name drug. As a result, drug interchangeability among the brand-name and its generic copies is a safety concern. In this paper, we propose to perform a meta-analysis for an overview of bioequivalence. The proposed meta-analysis provides an assessment of bioequivalence among generic copies of a brand-name that can be used as a tool to monitor the performance of the approved generic copies of the brand-name drug. In addition, it provides more accurate estimates of inter- and intrasubject variabilities of the drug product.
Duke Scholars
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Related Subject Headings
- Therapeutic Equivalency
- Statistics as Topic
- Statistics & Probability
- Models, Biological
- Meta-Analysis as Topic
- Mathematical Computing
- Individuality
- Humans
- 4905 Statistics
- 3214 Pharmacology and pharmaceutical sciences
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Therapeutic Equivalency
- Statistics as Topic
- Statistics & Probability
- Models, Biological
- Meta-Analysis as Topic
- Mathematical Computing
- Individuality
- Humans
- 4905 Statistics
- 3214 Pharmacology and pharmaceutical sciences