Signal mining of adverse drug events related to hypovolemia caused by SGLT2 inhibitors based on FAERS database.

Detalles Bibliográficos
Publicado en:International Journal of Diabetes in Developing Countries Vol. 46; no. 1; pp. 323 - 334
Autores principales: Li, Huan, Guan, Ziwan
Formato: research tables/charts Journal Article
Publicado: Springer Nature Mar2026
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Signal mining of adverse drug events related to hypovolemia caused by SGLT2 inhibitors based on FAERS database.
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          Li, Huan
          Guan, Ziwan
        affil: https://ror.org/05d5vvz89 Department of Pharmacy, The First Affiliated Hospital of Jinan University, No.613 Whampoa Avenue West, 510630, Guangzhou, China
      sug:
        subj:
          Adverse Drug Event
          Hypovolemia Chemically Induced
          Sodium-Glucose Co-Transporter 2 Inhibitors Adverse Effects
          Data Mining Methods
          Resource Databases, Health
          Funding Source
          Human
          United States Food and Drug Administration
          Descriptive Statistics
          Data Analysis Software
          Confidence Intervals
          Odds Ratio
          Male
          Female
          Adolescence
          Adult
          Middle Age
          Aged
          Shock Risk Factors
          Sex Factors
          Age Factors
          Canagliflozin Adverse Effects
          Dapagliflozin Adverse Effects
          Empagliflozin Adverse Effects
          Chi Square Test
          Dehydration
          Dizziness
          False Negative Results
          False Positive Results
          Sodium
          Water
          Hypovolemia Risk Factors
          Risk Assessment
          Adolescent: 13-18 years
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
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      ougenre: Article
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    language: English
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