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- Title
US FDA Postmarketing Requirements and Commitments: A Systematic Assessment of Clinical Pharmacology Studies and Their Impact on US FDA Prescribing Information.
- Authors
Ridge, Sarah; Guinn, Daphne; Pfuma Fletcher, Elimika; Zineh, Issam; Madabushi, Rajanikanth; Ramamoorthy, Anuradha
- Abstract
Many of the conditions for the safe and effective use of new molecular entities (NMEs) are understood at the time of initial drug approval. However, some remaining knowledge gaps can be addressed after drug approval through postmarketing requirements (PMRs) or commitments (PMCs) established by the US Food and Drug Administration (FDA). Our objective was to conduct an assessment of clinical pharmacology–related PMRs and PMCs established at the time of approval and evaluate the impact of fulfilled PMRs and PMCs on prescription information (PI). This analysis included clinical pharmacology–related PMRs and PMCs established for NMEs approved between 2009 and 2020. Of the 1171 PMRs and PMCs, over one‐third were clinical pharmacology–related. Of these, 46% were to evaluate drug interactions, 16% were to evaluate drug dosing in patients with hepatic impairment, and 10% were related to dose. The majority (57%) of PMRs and PMCs were fulfilled at the time of analysis, with a median time to fulfillment of approximately 2.3 years. The majority (94%) of the fulfilled PMRs and PMCs, either with or without a PI revision, resulted in new or modified instructions for use or supported existing instructions for use. This is the first time that clinical pharmacology–related PMRs and PMCs have been catalogued and analyzed to understand their impact on PI. An understanding of the knowledge gaps that exist at the time of drug approval could inform the most effective and efficient methods for evidence generation prior to and after new drug approval.
- Subjects
MARKETING laws; DRUG approval; DRUG efficacy; BIOLOGICAL products; INVESTIGATIONAL drugs; UNITED States. Food &; Drug Administration; DRUG prescribing; DESCRIPTIVE statistics; COMMITMENT (Psychology); MEDICAL prescriptions; PHYSICIAN practice patterns; DATA analysis software
- Publication
Journal of Clinical Pharmacology, 2023, Vol 63, Issue 6, p695
- ISSN
0091-2700
- Publication type
Article
- DOI
10.1002/jcph.2208