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Cited by 351

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Clinical Pharmacogenetics Implementation Consortium Guideline (CPIC) for CYP2C9 and Nonsteroidal Anti‐Inflammatory Drugs

Open access
Theken, Katherine N., Lee, Craig R., Gong, Li, Caudle, Kelly E., Formea, Christine M., Gaedigk, Andrea, Klein, Teri E., Agúndez, José A.G., Grosser, Tilo·2020·Clinical Pharmacology & Therapeutics

Abstract

Nonsteroidal anti‐inflammatory drugs (NSAIDs) are among the most commonly used analgesics due to their lack of addictive potential. However, NSAIDs have the potential to cause serious gastrointestinal, renal, and cardiovascular adverse events. CYP2C9 polymorphisms influence metabolism and clearance of several drugs in this class, thereby affecting drug exposure and potentially safety. We summarize evidence from the published literature supporting these associations and provide therapeutic recommendations for NSAIDs based on CYP2C9 genotype (updates at www.cpicpgx.org).

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Crossref · 10.1002/cpt.1830

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Authors
Theken, K. N., Lee, C. R., Gong, L., Caudle, K. E., Formea, C. M., Gaedigk, A., Klein, T. E., Agúndez, J. A. G., & Grosser, T.
Venue
Clinical Pharmacology & Therapeutics
Publisher
Wiley
Published
2020-04-28
Volume
108
Issue
2
Pages
191-200
ISSN
  • 0009-9236 (ISSN-L)
  • 1532-6535
OpenAlex
W3012167797
Cited by
351
References
0
FWCI
38.74
Type
journal article
Language
en
Open access
green

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.