CG-DIVA

CG-DIVA evaluates the performance of continuous glucose monitoring (CGM) systems by characterizing glucose measurement deviations and variability relative to a comparison method.


Key Features:

  • Deviation Interval Characterization: Quantifies expected ranges of CGM measurement deviations from a reference comparison method across glucose concentration ranges.
  • Sensor Variability Assessment: Measures both within-sensor and between-sensor variability to evaluate CGM measurement consistency.
  • Error Distribution Analysis: Identifies the incidence and magnitude of large measurement errors relevant to clinical interpretation.

Scientific Applications:

  • CGM Accuracy Evaluation: Assesses the analytical accuracy of continuous glucose monitoring systems in accordance with performance requirements for integrated CGM devices.
  • Comparative Device Analysis: Enables standardized comparison of performance metrics across different CGM systems.

Methodology:

CG-DIVA applies statistical tolerance interval analysis to CGM measurements relative to a comparison method to quantify deviation ranges and evaluate within-sensor and between-sensor variability.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
desktop application
Programming Languages:
Python, R
Added:
1/27/2023
Last Updated:
11/24/2024

Operations

Publications

Eichenlaub M, Stephan P, Waldenmaier D, Pleus S, Rothenbühler M, Haug C, Hinzmann R, Thomas A, Jendle J, Diem P, Freckmann G. Continuous Glucose Deviation Interval and Variability Analysis (CG-DIVA): A Novel Approach for the Statistical Accuracy Assessment of Continuous Glucose Monitoring Systems. Journal of Diabetes Science and Technology. 2022;18(4):857-865. doi:10.1177/19322968221134639. PMID:36329636. PMCID:PMC11307236.