cgmanalysis

cgmanalysis standardizes and analyzes continuous glucose monitor (CGM) data to compute summary glycemic metrics for research and clinical interpretation.

Key Features:

• Standardization: Provides a consistent methodology to harmonize reporting across different commercial CGM systems and datasets.
• Summary variable calculation: Calculates an extensive suite of summary variables from CGM data that are comparable to metrics produced by commercial software and include a broader range of metrics.
• Implementation: Implements analysis functions in R for statistical computing and processing of CGM datasets.
• Interoperability: Facilitates integration and comparison of CGM data from disparate devices and reporting formats.

Scientific Applications:

• Clinical trials: Produces detailed summary statistics for analysis of glucose dynamics in trial cohorts and free-living conditions.
• Clinical decision support: Provides quantitative CGM analyses to inform insulin dosing and other therapeutic intervention decisions.

Methodology:

Analysis functions are implemented in R and compute summary variables from CGM data while standardizing reporting across commercial CGM outputs.