ArticleDiabetes technology & therapeutics2018
Prediction Quality of Glucose Trend Indicators in Two Continuous Tissue Glucose Monitoring Systems.
Article in Diabetes technology & therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Nanostructured electrode materials and flexible-substrate engineering for wearable multi-analyte biosensors in diabetes monitoring and personalized care: a comprehensive review.Journal of materials science. Materials in medicine · 2026Review
- A Proposal for the Clinical Characterization of Continuous Glucose Monitoring Trend Arrow Accuracy.Journal of diabetes science and technology · 2024Review
- Time in Specific Glucose Ranges, Glucose Management Indicator, and Glycemic Variability: Impact of Continuous Glucose Monitoring (CGM) System Model and Sensor on CGM Metrics.Journal of diabetes science and technology · 2021Article
- Benefits and Limitations of MARD as a Performance Parameter for Continuous Glucose Monitoring in the Interstitial Space.Journal of diabetes science and technology · 2020Article
- Predictive Glucose Trends From Continuous Glucose Monitoring: Friend or Foe in Clinical Decision Making?Journal of diabetes science and technology · 2019Review
- Therapy Adjustments Based on Trend Arrows Using Continuous Glucose Monitoring Systems.Journal of diabetes science and technology · 2019Review
- Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices.Journal of diabetes science and technology · 2019Review
- Improving patient self-care using diabetes technologies.Therapeutic advances in endocrinology and metabolism · 2019Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundContinuous interstitial glucose monitoring (CGM) systems often provide glucose trend indicators (e.g., arrows) in addition to current glucose values. These indicators are recommended to be used in therapeutic decisions, because they are ascribed predictive qualities by CGM system manufacturers and expert committees. This study assessed how reliably trend indicators match future glucose change, because such information is missing.
methodsIn a clinical trial, two different CGM systems were used by 20 participants, with two sensors of each system per patient. Participants used the systems for 14 days with three study site visits (48 h each). During study site visits, glucose trend indicators, as displayed by the CGM systems, were recorded at least once per hour during daytime and once at night in a diary. In addition, CGM data were downloaded from the devices. Trend indicators were compared with glucose change calculated from CGM data >30 min after recording the trend indicator.
resultsApproximately 60% of trend indicators matched the glucose change calculated from CGM data. More than 10% of trend indicators differed by at least two trend indicator categories. Focusing on trend indicators recorded around carbohydrate (CHO) intake and insulin deliveries resulted in approximately half of trend indicators matching the calculated glucose change.
conclusionsTrend indicators do not always match future glucose change, especially within the first few hours after CHO intake and insulin deliveries. Manufacturers' labeling and recommendations should reflect this, so that CGM users can make informed decisions.
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