ArticleDiabetologia2009
Reducing glycaemic variability in type 1 diabetes self-management with a continuous glucose monitoring system based on wired enzyme technology.
Article in Diabetologia, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 37 citations in OpenAlex.
- Glycemic Variability and Hypoglycemic Excursions With Continuous Glucose Monitoring Compared to Intermittently Scanned Continuous Glucose Monitoring in Adults With Highest Risk Type 1 Diabetes.Journal of diabetes science and technology · 2020Trial
- Design and rationale of the IN CONTROL trial: the effects of real-time continuous glucose monitoring on glycemia and quality of life in patients with type 1 diabetes mellitus and impaired awareness of hypoglycemia.BMC endocrine disorders · 2015Trial
- Glycemic variability and glucose complexity in critically ill patients: a retrospective analysis of continuous glucose monitoring data.Critical care (London, England) · 2012Trial
- Sensor-augmented pump therapy from the diagnosis of childhood type 1 diabetes: results of the Paediatric Onset Study (ONSET) after 12 months of treatment.Diabetologia · 2010Trial
- Effect of Treatment and Nutrition on Glycemic Variability in Critically Ill Patients.International journal of environmental research and public health · 2022Article
- Correlation between short- and mid-term hemoglobin A1c and glycemic control determined by continuous glucose monitoring.Diabetology & metabolic syndrome · 2021Article
- Article
- Improved Real-World Glycemic Control With Continuous Glucose Monitoring System Predictive Alerts.Journal of diabetes science and technology · 2021Article
- Management of diabetes complications in youth.Therapeutic advances in endocrinology and metabolism · 2019Review
- The Performance and Usability of a Factory-Calibrated Flash Glucose Monitoring System.Diabetes technology & therapeutics · 2015Article
- 1,5-anhydroglucitol as a useful marker for assessing short-term glycemic excursions in type 1 diabetes.Diabetes & metabolism journal · 2015Article
- The benefits, limitations, and cost-effectiveness of advanced technologies in the management of patients with diabetes mellitus.Journal of diabetes science and technology · 2015Review
- Glycemic variability: Clinical implications.Indian journal of endocrinology and metabolism · 2013Article
- Continuous glucose monitoring: evidence and consensus statement for clinical use.Journal of diabetes science and technology · 2013Review
- Continuous glucose monitoring in children and adolescents.Current diabetes reports · 2012Review
- Real-life utilization of real-time continuous glucose monitoring: the complete picture.Journal of diabetes science and technology · 2011Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aims/hypothesisThis study was designed to investigate the use and impact of a continuous glucose monitoring system (the FreeStyle Navigator) under home-use conditions in the self-management of type 1 diabetes.
methodsA 20 day masked phase, when real-time data and alarms were not available, was compared with a subsequent 40 day unmasked phase for a number of specified measures of glycaemic variability. HbA(1c) (measured by DCA 2000) and a hypoglycaemia fear survey were recorded at the start and end of the study.
resultsThe study included 48 patients with type 1 diabetes (mean age 35.7 +/- 10.9, range 18-61 years; diabetes duration 17.0 +/- 9.5 years). Two patients did not complete the study for personal reasons. Comparing masked (all 20 days) and unmasked (last 20 days) phases, the following reductions were seen: time outside euglycaemia from 11.0 to 9.5 h/day (p = 0.002); glucose SD from 3.5 to 3.2 mmol/l (p < 0.001); hyperglycaemic time (>10.0 mmol/l) from 10.3 to 8.9 h/day (p = 0.0035); mean amplitude of glycaemic excursions (peak to nadir) down by 10% (p < 0.001); high blood glucose index down by 18% (p = 0.0014); and glycaemic risk assessment diabetes equation score down by 12% (p = 0.0013). Hypoglycaemic time (<3.9 mmol/l) decreased from 0.70 to 0.64 h/day without statistical significance (p > 0.05). Mean HbA(1c) fell from 7.6 +/- 1.1% at baseline to 7.1 +/- 1.1% (p < 0.001). In the hypoglycaemia fear survey, the patients tended to take less snacks at night-time after wearing the sensor. CONCLUSIONS/
interpretationHome use of a continuous glucose monitoring system has a positive effect on the self-management of diabetes. Thus, continuous glucose monitoring may be a useful tool to decrease glycaemic variability.
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