Using a Benefit-Risk Analysis Approach to Capture Regulatory Decision Making: Melanoma.


Journal

Clinical pharmacology and therapeutics
ISSN: 1532-6535
Titre abrégé: Clin Pharmacol Ther
Pays: United States
ID NLM: 0372741

Informations de publication

Date de publication:
07 2019
Historique:
received: 08 01 2019
accepted: 17 03 2019
pubmed: 18 4 2019
medline: 31 3 2020
entrez: 18 4 2019
Statut: ppublish

Résumé

Drug regulators seek to make decisions regarding drug approvals based on analysis of the relevant benefits and risks. In this work, 25 US Food and Drug Administration (FDA) decisions on melanoma drugs were identified and analyzed based on clinical trial results published between 1999 and 2017. In each case, the benefits and risks of the new drug in each clinical trial relative to a comparator (typically the control arm of the same clinical trial) were quantified. The benefits and risks were analyzed using a common scale to allow for direct comparison. A sensitivity analysis was conducted using vemurafenib to explore the magnitude of uncertainty in the quantitative assessments. The associated FDA decision outcomes of the new drugs were consistent with the benefits and risks quantified in this work.

Identifiants

pubmed: 30993685
doi: 10.1002/cpt.1461
doi:

Substances chimiques

Antineoplastic Agents 0

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

123-135

Informations de copyright

© 2019 The Authors Clinical Pharmacology & Therapeutics © 2019 American Society for Clinical Pharmacology and Therapeutics.

Auteurs

G K Raju (GK)

Light Pharma, Inc., Cambridge, Massachusetts, USA.
Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

Karthik Gurumurthi (K)

Light Pharma, Inc., Cambridge, Massachusetts, USA.

Reuben Domike (R)

Light Pharma, Inc., Cambridge, Massachusetts, USA.
Brigham Young University, Provo, Utah, USA.

Marc R Theoret (MR)

Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.

Richard Pazdur (R)

Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.

Janet Woodcock (J)

Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.

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Classifications MeSH