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g4 platinum cgm system software 505  (Dexcom Inc)

 
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    Dexcom Inc g4 platinum cgm system software 505
    G4 Platinum Cgm System Software 505, supplied by Dexcom Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/g4 platinum cgm system software 505/product/Dexcom Inc
    Average 90 stars, based on 1 article reviews
    g4 platinum cgm system software 505 - by Bioz Stars, 2026-03
    90/100 stars

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    Summary of the included studies investigating the accuracy of hypoglycaemia detection of MID and NID

    Journal: Systematic Reviews

    Article Title: Non-invasive and minimally invasive glucose monitoring devices: a systematic review and meta-analysis on diagnostic accuracy of hypoglycaemia detection

    doi: 10.1186/s13643-021-01644-2

    Figure Lengend Snippet: Summary of the included studies investigating the accuracy of hypoglycaemia detection of MID and NID

    Article Snippet: G4 Platinum, Software 505 algorithm (Dexcom) , Laffel, 2016 Study 2 [ ] , USA , MID , 79/2262 , Venous and capillary blood , T1DM: 100% , Home , 80 , 12.2/yes.

    Techniques: Software

    Plot of CGM-measured mean glucose concentration vs. central laboratory–measured A1C used to compute the formula to estimate GMI, combining data from four randomized trials using the Dexcom G4 sensor with 505 software ( N = 528) described in the Supplementary Data . The shaded area represents the 95% CI of the regression line. The regression equation to compute GMI (%) = 3.31 + 0.02392 × [mean glucose in mg/dL] or GMI (mmol/mol) = 12.71 + 4.70587 × [mean glucose in mmol/L]. A calculator to compute GMI is available at www.jaeb.org/gmi and www.AGPreport.org/agp/links .

    Journal: Diabetes Care

    Article Title: Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring

    doi: 10.2337/dc18-1581

    Figure Lengend Snippet: Plot of CGM-measured mean glucose concentration vs. central laboratory–measured A1C used to compute the formula to estimate GMI, combining data from four randomized trials using the Dexcom G4 sensor with 505 software ( N = 528) described in the Supplementary Data . The shaded area represents the 95% CI of the regression line. The regression equation to compute GMI (%) = 3.31 + 0.02392 × [mean glucose in mg/dL] or GMI (mmol/mol) = 12.71 + 4.70587 × [mean glucose in mmol/L]. A calculator to compute GMI is available at www.jaeb.org/gmi and www.AGPreport.org/agp/links .

    Article Snippet: More recently, Beck et al. ( ) published an equation (3.38 + 0.02345 × [mean glucose in mg/dL]) to estimate A1C from CGM-measured mean glucose concentration using modern CGM technology (Dexcom G4 Platinum CGM System with software 505; Dexcom, Inc., San Diego, CA) and using up to 91 days of CGM data (median 66 days) from 387 individuals with diabetes, combining data from three clinical trials (315 with T1D and 72 with T2D) ( – ).

    Techniques: Concentration Assay, Software

    Explaining GMI to individuals with diabetes

    Journal: Diabetes Care

    Article Title: Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring

    doi: 10.2337/dc18-1581

    Figure Lengend Snippet: Explaining GMI to individuals with diabetes

    Article Snippet: More recently, Beck et al. ( ) published an equation (3.38 + 0.02345 × [mean glucose in mg/dL]) to estimate A1C from CGM-measured mean glucose concentration using modern CGM technology (Dexcom G4 Platinum CGM System with software 505; Dexcom, Inc., San Diego, CA) and using up to 91 days of CGM data (median 66 days) from 387 individuals with diabetes, combining data from three clinical trials (315 with T1D and 72 with T2D) ( – ).

    Techniques:

    Difference between GMI (calculated from CGM-derived mean glucose) and laboratory-measured A1C ( N = 528)

    Journal: Diabetes Care

    Article Title: Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring

    doi: 10.2337/dc18-1581

    Figure Lengend Snippet: Difference between GMI (calculated from CGM-derived mean glucose) and laboratory-measured A1C ( N = 528)

    Article Snippet: More recently, Beck et al. ( ) published an equation (3.38 + 0.02345 × [mean glucose in mg/dL]) to estimate A1C from CGM-measured mean glucose concentration using modern CGM technology (Dexcom G4 Platinum CGM System with software 505; Dexcom, Inc., San Diego, CA) and using up to 91 days of CGM data (median 66 days) from 387 individuals with diabetes, combining data from three clinical trials (315 with T1D and 72 with T2D) ( – ).

    Techniques: