ArticleDiabetes technology & therapeutics2015
Assessing sensor accuracy for non-adjunct use of continuous glucose monitoring.
Article in Diabetes technology & therapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 105 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Treating Type 2 Diabetes by Reducing Postprandial Glucose Elevations: A Paradigm Shift in Lifestyle Modification
Benefits of Adding Continuous Glucose Monitoring to Glycemic Load, Exercise, and Monitoring of Blood Glucose (GEM) for Adults With Type 2 Diabetes - Phase 2
Are Todays Continuous Glucose Monitoring Precise and Can They be Used to Reveal and Reduce Glycaemic Variability?
Who cites it
105 citing papers in PubMed.
- A Head-to-Head Comparison of Two Algorithms for Adjusting Mealtime Insulin Doses Based on CGM Trend Arrows in Adult Patients with Type 1 Diabetes: Results from an Exploratory Study.International journal of environmental research and public health · 2023Trial
- Implantable and transcutaneous continuous glucose monitoring system: a randomized cross over trial comparing accuracy, efficacy and acceptance.Journal of endocrinological investigation · 2022Trial
- Analyzing the Potential of Advanced Insulin Dosing Strategies in Patients With Type 2 Diabetes: Results From a Hybrid In Silico Study.Journal of diabetes science and technology · 2018Trial
- Stability, Accuracy, and Risk Assessment of a Novel Subcutaneous Glucose Sensor.Diabetes technology & therapeutics · 2017Trial
- REPLACE-BG: A Randomized Trial Comparing Continuous Glucose Monitoring With and Without Routine Blood Glucose Monitoring in Adults With Well-Controlled Type 1 Diabetes.Diabetes care · 2017Trial
- Assessing the Accuracy of Continuous Glucose Monitoring (CGM) Calibrated With Capillary Values Using Capillary or Venous Glucose Levels as a Reference.Journal of diabetes science and technology · 2016Trial
- Clinical accuracy of Dexcom G6 and G7 continuous glucose monitors in hospitalized pediatric patients with type 1 diabetes: a real-world study.Annals of pediatric endocrinology & metabolism · 2026Article
- Accuracy and reliability of a continuous glucose monitoring system with a focus on hypoglycaemia.Diabetes, obesity & metabolism · 2026Article
- Accuracy of Dexcom G6 Pro and G7 Continuous Glucose Monitors in Patients Treated with Maintenance Dialysis.Diabetes technology & therapeutics · 2026Article
- Evaluation of Asymptomatic Fasting Hypoglycemia in Outpatients Without Diabetes.Journal of the American Board of Family Medicine : JABFM · 2025Article
- Incorporating Uncertainty Estimation and Interpretability in Personalized Glucose Prediction Using the Temporal Fusion Transformer.Sensors (Basel, Switzerland) · 2025Article
- Comparative Performance Analysis of Manual and Updated Optional Calibration Algorithms for the CareSens Air CGM System.Journal of diabetes science and technology · 2025Article
- Metabolic Models, in Silico Trials, and Algorithms.Journal of diabetes science and technology · 2025Review
- Metabolic Models, in Silico Trials, and Algorithms.Diabetes technology & therapeutics · 2025Review
- Clinical evaluation of a polarization-based optical noninvasive glucose sensing system.Scientific reports · 2025Article
- Calibrating Dexcom G7 improves its performance in the context of repetitive recreational scuba diving in people with type 1 diabetes.BMJ open sport & exercise medicine · 2025Article
- Continuous Glucose Monitoring-New Diagnostic Tool in Complex Pathophysiological Disorder of Glucose Metabolism in Children and Adolescents with Obesity.Diagnostics (Basel, Switzerland) · 2024Review
- A new glucose monitoring system for the intermittent monitoring of interstitial glucose values in patients with diabetes mellitus.Journal of diabetes and metabolic disorders · 2024Article
- The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors.Journal of diabetes science and technology · 2024Article
- Review
45 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundThe level of continuous glucose monitoring (CGM) accuracy needed for insulin dosing using sensor values (i.e., the level of accuracy permitting non-adjunct CGM use) is a topic of ongoing debate. Assessment of this level in clinical experiments is virtually impossible because the magnitude of CGM errors cannot be manipulated and related prospectively to clinical outcomes. MATERIALS AND
methodsA combination of archival data (parallel CGM, insulin pump, self-monitoring of blood glucose [SMBG] records, and meals for 56 pump users with type 1 diabetes) and in silico experiments was used to "replay" real-life treatment scenarios and relate sensor error to glycemic outcomes. Nominal blood glucose (BG) traces were extracted using a mathematical model, yielding 2,082 BG segments each initiated by insulin bolus and confirmed by SMBG. These segments were replayed at seven sensor accuracy levels (mean absolute relative differences [MARDs] of 3-22%) testing six scenarios: insulin dosing using sensor values, threshold, and predictive alarms, each without or with considering CGM trend arrows.
resultsIn all six scenarios, the occurrence of hypoglycemia (frequency of BG levels ≤50 mg/dL and BG levels ≤39 mg/dL) increased with sensor error, displaying an abrupt slope change at MARD =10%. Similarly, hyperglycemia (frequency of BG levels ≥250 mg/dL and BG levels ≥400 mg/dL) increased and displayed an abrupt slope change at MARD=10%. When added to insulin dosing decisions, information from CGM trend arrows, threshold, and predictive alarms resulted in improvement in average glycemia by 1.86, 8.17, and 8.88 mg/dL, respectively.
conclusionsUsing CGM for insulin dosing decisions is feasible below a certain level of sensor error, estimated in silico at MARD=10%. In our experiments, further accuracy improvement did not contribute substantively to better glycemic outcomes.
Indexed as
Identifiers
What Socratic holds
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.