Diametrics: A User-Friendly Web Tool for Custom Analysis of Continuous Glucose Monitoring Data

Abstract

AbstractBackgroundContinuous Glucose Monitoring (CGM) systems have revolutionized diabetes management by providing real-time blood glucose tracking. However, there is a need for openly accessible tools that can analyze CGM data in relation to specific events like meals or exercise, which often require extensive technical skills to interpret, thus restricting its broader use among researchers and clinicians. Developing user-friendly web applications to facilitate this analysis could significantly broaden accessibility and utility.MethodDiametricswas built with a focus on ease-of-use and versatility. The application’s efficacy was validated againstiglu, an establishedRtool with a no-code web app for CGM analysis, using data from 418 participants from three studies. The unique period-specific analysis feature was demonstrated through an illustrative case study.ResultsDiametricsproved effective at replicated established CGM metrics, demonstrating high concordance withiglu. The platform supports a wide range of CGM devices, accommodates data in various formats, and offers extensive customization in the analysis settings. The case study highlightedDiametrics’ability to integrate exercise-related data with CGM readings, enabling detailed analyses of how different exercise types, intensities, and times of day impact glucose levels.ConclusionsDiametricsis a freely available, reproducible, user-friendly, and accurate web-based tool for CGM data analysis with a unique capability to analyze data over specific time periods. With its intuitive design and open-source accessibility,Diametricsprovides a valuable resource in diabetes research and management, empowering users of various technical levels to perform complex analyses with ease.