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Incidence and Prevalence of Confounding Variables Over Time in the Sentinel Distributed Database (SDD): A Descriptive Analysis

    Basic Details
    Date Posted

    In this report we described the incidence and prevalence of select sources of confounding over time in the Sentinel Distributed Database (SDD). We evaluated the following conditions as select sources of confounding: 1) obesity, 2) overweight, 3) smoking, 4) alcohol abuse or dependence, 5) drug abuse or dependence, 6) history of coronary artery bypass grafting (CABG) or percutaneous transluminal coronary angioplasty (PTCA), and 7) history of sudden cardiac arrest. The study period includes data from January 1, 2006 to June 30, 2018. We distributed this request to 17 Sentinel Data Partners on September 24, 2018.

    Additional Details
    FDA Center
    Time Period
    January 1, 2006 - June 30, 2018
    Analysis Type
    Population / Cohort
    All individuals
    Data Sources
    Sentinel Distributed Database (SDD)