The DOI matches its Crossref record.
Clinical Pharmacogenetics Implementation Consortium Guideline (CPIC) for CYP2C9 and Nonsteroidal Anti‐Inflammatory Drugs
Open accessAbstract
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).
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Zobdeh, F., Eremenko, I. I., Akan, M. A., Tarasov, V. V., Chubarev, V. N., Schiöth, H. B., & Mwinyi, J. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics14061190 · Cited by 45
Metabolic characterization of the new benzimidazole synthetic opioids - nitazenes
Jadhav, G. R., & Fasinu, P. S. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1434573 · Cited by 29
Metformin to treat Huntington disease: A pleiotropic drug against a multi-system disorder
Trujillo-Del Río, C., Tortajada-Pérez, J., Gómez-Escribano, A. P., Casterá, F., Peiró, C., Millán, J. M., Herrero, M. J., & Vázquez-Manrique, R. P. (2022) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2022.111670 · Cited by 19
Metadata
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.