ArticleJournal of diabetes science and technology2021
Improved Real-World Glycemic Control With Continuous Glucose Monitoring System Predictive Alerts.
Article in Journal of diabetes science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Hypoglycaemia detection and prediction techniques: A systematic review on the latest developments.Diabetes/metabolism research and reviews · 2021Pooled it
- Threshold and Predictive Alerts of Continuous Glucose Monitoring and Glycemic Control in Hospitalized Adults With Diabetes: A Randomized Clinical Trial.JAMA network open · 2026Trial
- Mitigation of Rebound Hyperglycemia With Real-Time Continuous Glucose Monitoring Data and Predictive Alerts.Journal of diabetes science and technology · 2022Trial
- Identification of Continuous Glucose Monitoring Self-Management Structured Education Programs for People with Type 1 Diabetes Mellitus: A Mixed Methodology Systematic Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Review
- Insights into the effective use of the Smart MDI system: Data from the first 1852 type 1 diabetes users.Diabetic medicine : a journal of the British Diabetic Association · 2025Article
- Expert Opinion Statement on Continuous Glucose Monitoring in Type 2 Diabetes in the Arab Gulf Region.Journal of diabetes science and technology · 2025Review
- Glucose alarms approach with flash glucose monitoring system: a narrative review of clinical benefits.Diabetology & metabolic syndrome · 2025Review
- Digital health technologies/interventions in smart ward development for elderly patients with diabetes: A perspective from China and beyond.World journal of diabetes · 2025Review
- Artificial Intelligence in Medicine and Imaging Applications.Current pharmaceutical design · 2025Review
- Criteria for Personalised Choice of a Continuous Glucose Monitoring System: An Expert Opinion.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024Article
- Article
- Diabetes management in the era of artificial intelligence.Archives of medical sciences. Atherosclerotic diseases · 2024Article
- Cost-Utility of Real-Time Continuous Glucose Monitoring versus Self-Monitoring of Blood Glucose in People with Insulin-Treated Type 2 Diabetes in Spain.ClinicoEconomics and outcomes research : CEOR · 2024Article
- Longitudinal analysis of users transitioning from the Dexcom G5 to the G6 RT-CGM system in Germany, Sweden and the United Kingdom (2018-2020).Diabetic medicine : a journal of the British Diabetic Association · 2023Observational
- Article
- The leading global health challenges in the artificial intelligence era.Frontiers in public health · 2023Review
- Artificial Intelligence in Dermatology: Challenges and Perspectives.Dermatology and therapy · 2022Article
- Artificial intelligence perspective in the future of endocrine diseases.Journal of diabetes and metabolic disorders · 2022Review
- Flash glucose monitoring and glycemic control in type 1 diabetes with subcutaneous insulin infusion.Acta diabetologica · 2022Article
- Practical aspects of diabetes technology use: Continuous glucose monitors, insulin pumps, and automated insulin delivery systems.Journal of clinical & translational endocrinology · 2022Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost standalone real-time continuous glucose monitoring (RT-CGM) systems provide predictive low and high sensor glucose (SG) threshold alerts. The durations and risk of low and high SG excursions following Guardian™ Connect CGM system predictive threshold alerts were evaluated.
methodsContinuous glucose monitoring system data uploaded between January 2, 2017 and May 22, 2018 by 3133 individuals using multiple daily injections (MDIs) or continuous subcutaneous insulin infusion (CSII) therapy were deidentified and retrospectively analyzed. Glucose excursions were defined as SG values that went beyond a preset low or high SG threshold for ≥15 minutes. For a control group, thresholds were based on the median of the low SG threshold limit (70 mg/dL) and the high SG threshold limit (210 mg/dL) preset by all system users. During periods when alerts were not enabled, timestamps were identified when a predictive alert would have been triggered. The time before low horizon was 17.5 minutes and the time before high horizon was 15 minutes, of all users who enabled alerts. Excursions occurring after a low SG or high SG predictive alert were segmented into prevented, ≤20, 20-60, and >60 minutes.
resultsExcursions were prevented after 59% and 39% of low and high SG predictive alerts, respectively. The risk of a low or high excursion occurring was 1.9 (
conclusionsThe predictive alerts of the RT-CGM system under study can help individuals living with diabetes prevent some real-world low and high SG excursions. This can be especially important for those unable to reach or maintain glycemic control with basic RT-CGM or CSII therapy.
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