title: CGM Retrospective Data Analysis.
abstract: Continuous glucose monitoring (CGM) has increased in popularity as a daily management tool for people with diabetes and a diagnostic instrument for their healthcare providers. Achieving better clinical outcomes hinges on appropriate analysis and interpretation of data collected by CGM systems. This includes device downloading, qualification of data, and generation of applicable reports. An objectives-based analysis of the reports can yield valuable insight for fine-tuning treatment in several areas, including postprandial glucose patterns, overnight/basal stability, duration of bolus insulin action, timing of (and response to) hypoglycemic episodes, the efficacy of meal and correction insulin doses, and the impact of a variety of lifestyle activities.
authors.affiliation: Integrated Diabetes Services , Wynnewood, Pennsylvania.
authors.forename: Gary
authors.initials: G
authors.lastname: Scheiner
mesh_terms: D001786:Blood Glucose / Q000032:analysis*; D015190:Blood Glucose Self-Monitoring / Q000379:methods*; D003920:Diabetes Mellitus / Q000097:blood*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D007003:Hypoglycemia / Q000097:blood / Q000175:diagnosis; D019518:Postprandial Period; D012189:Retrospective Studies; D012984:Software
chemical_list: D001786:Blood Glucose