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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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| Publicado no: | Endocrinol Diabetes Metab |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8279599/ https://ncbi.nlm.nih.gov/pubmed/34277962 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/edm2.237 |
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