ArticleJournal of diabetes science and technology2024
Continuous Glucose Deviation Interval and Variability Analysis (CG-DIVA): A Novel Approach for the Statistical Accuracy Assessment of Continuous Glucose Monitoring Systems.
Article in Journal of diabetes science and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- A Flexible Wearable Glucose Sensor for Noninvasive Diabetes Screening: Functional Equivalence and Model Interpretability.Biosensors · 2026Article
- Performance of a New Continuous Glucose Monitoring System in German Adults Living with Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
- Accuracy of a novel calibratable real-time continuous glucose monitoring device based on FreeStyle libre in- and out-of-hospital.Frontiers in endocrinology · 2025Article
- Performance Assessment of Three Continuous Glucose Monitoring Systems in Adults With Type 1 Diabetes.Journal of diabetes science and technology · 2024Article
- Analytical Performance of the FreeStyle Libre 2 Glucose Sensor in Healthy Male Adults.Sensors (Basel, Switzerland) · 2024Article
- Performance of a Novel Continuous Glucose Monitoring Device in People With Diabetes.Journal of diabetes science and technology · 2024Article
- Diabetes Technology Meeting 2023.Journal of diabetes science and technology · 2024Article
- A Proposal for the Clinical Characterization of Continuous Glucose Monitoring Trend Arrow Accuracy.Journal of diabetes science and technology · 2024Review
- Comparison of Point Accuracy Between Two Widely Used Continuous Glucose Monitoring Systems.Journal of diabetes science and technology · 2024Article
- Comparing Clinical Accuracy and Analytical Accuracy Between Continuous Glucose Monitors.Journal of diabetes science and technology · 2024Article
- Perceptions of Continuous Glucose Monitoring Systems in the T1D Exchange Diabetes Registry: Satisfaction, Concerns, and Areas for Future Improvement.Clinical diabetes : a publication of the American Diabetes Association · 2024Article
- Clinical Performance Evaluation of Continuous Glucose Monitoring Systems: A Scoping Review and Recommendations for Reporting.Journal of diabetes science and technology · 2023Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe accuracy of continuous glucose monitoring (CGM) systems is crucial for the management of glucose levels in individuals with diabetes mellitus. However, the discussion of CGM accuracy is challenged by an abundance of parameters and assessment methods. The aim of this article is to introduce the Continuous Glucose Deviation Interval and Variability Analysis (CG-DIVA), a new approach for a comprehensive characterization of CGM point accuracy which is based on the U.S. Food and Drug Administration requirements for "integrated" CGM systems.
methodsThe statistical concept of tolerance intervals and data from two approved CGM systems was used to illustrate the CG-DIVA.
resultsThe CG-DIVA characterizes the expected range of deviations of the CGM system from a comparison method in different glucose concentration ranges and the variability of accuracy within and between sensors. The results of the CG-DIVA are visualized in an intuitive and straightforward graphical presentation. Compared with conventional accuracy characterizations, the CG-DIVA infers the expected accuracy of a CGM system and highlights important differences between CGM systems. Furthermore, it provides information on the incidence of large errors which are of particular clinical relevance. A software implementation of the CG-DIVA is freely available (https://github.com/IfDTUlm/CGM_Performance_Assessment).
conclusionsWe argue that the CG-DIVA can simplify the discussion and comparison of CGM accuracy and could replace the high number of conventional approaches. Future adaptations of the approach could thus become a putative standard for the accuracy characterization of CGM systems and serve as the basis for the definition of future CGM performance requirements.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.