A novel data mining application to detect safety signals for newly approved medications in routine care of patients with diabetes

BACKGROUND: Clinical trials are often underpowered to detect serious but rare adverse events of a new medication. We applied a novel data mining tool to detect potential adverse events of canagliflozin, the first sodium glucose co‐transporter 2 (SGLT2 inhibitor) in the United States, using real‐worl...

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Detalles Bibliográficos
Autores principales: Fralick, Michael, Kulldorff, Martin, Redelmeier, Donald, Wang, Shirley V., Vine, Seanna, Schneeweiss, Sebastian, Patorno, Elisabetta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279599/
https://www.ncbi.nlm.nih.gov/pubmed/34277962
http://dx.doi.org/10.1002/edm2.237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8279599/
https://www.ncbi.nlm.nih.gov/pubmed/34277962
http://dx.doi.org/10.1002/edm2.237

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