ArticleJournal of diabetes science and technology2010
Impact of blood glucose self-monitoring errors on glucose variability, risk for hypoglycemia, and average glucose control in type 1 diabetes: an in silico study.
Article in Journal of diabetes science and technology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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Who cites it
56 citing papers in PubMed, 101 citations in OpenAlex.
- Glycemic variability and glucose complexity in critically ill patients: a retrospective analysis of continuous glucose monitoring data.Critical care (London, England) · 2012Trial
- Dynamic Interference Testing-Unexpected Results Obtained with the Abbott Libre 2 and Dexcom G6 Continuous Glucose Monitoring Devices.Sensors (Basel, Switzerland) · 2025Article
- Laboratory Protocol and Pilot Results for Dynamic Interference Testing of Continuous Glucose Monitoring Sensors.Journal of diabetes science and technology · 2024Article
- Quality assessment of glucose measurement with regard to epidemiology and clinical management of diabetes mellitus in Germany.Frontiers in molecular biosciences · 2024Article
- Impact of Blood Glucose Monitoring System Accuracy on Clinical Decision Making for Diabetes Management.Journal of diabetes science and technology · 2023Article
- Post-Market Surveillance Assessment of the Clinical Accuracy of a Blood Glucose Monitoring System with an Improved Algorithm for Enhanced Product Performance.Journal of diabetes science and technology · 2023Article
- Clinical Study of a High Accuracy Green Design Blood Glucose Monitor Using an Innovative Optical Transmission Absorbance System.Journal of diabetes science and technology · 2022Article
- Mean Absolute Relative Difference of Blood Glucose Monitoring Systems and Relationship to ISO 15197.Journal of diabetes science and technology · 2022Article
- Self-Monitoring of Blood Glucose as an Integral Part in the Management of People with Type 2 Diabetes Mellitus.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2022Article
- Diabetes Complications and Related Comorbidities Impair the Accuracy of FreeStyle Libre, a Flash Continuous Glucose Monitoring System, in Patients with Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Article
- Accuracy and User Performance of a New Blood Glucose Monitoring System.Journal of diabetes science and technology · 2021Article
- Diabetes Technology Meeting 2020.Journal of diabetes science and technology · 2021Article
- Applying Parkes Grid Method to Evaluate Impact of Variation in Blood Glucose Monitoring (BGM) Strip Accuracy Performance in Type 1 Diabetes Highlights the Potential for Amplification of Imprecision With Less Accurate BGM Strips.Journal of diabetes science and technology · 2021Article
- System accuracy evaluation of 18 CE-marked current-generation blood glucose monitoring systems based on EN ISO 15197:2015.BMJ open diabetes research & care · 2020Article
- Toward a Framework for Outcome-Based Analytical Performance Specifications: A Methodology Review of Indirect Methods for Evaluating the Impact of Measurement Uncertainty on Clinical Outcomes.Clinical chemistry · 2019Review
- Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices.Journal of diabetes science and technology · 2019Review
- Accuracy of Bolus and Basal Rate Delivery of Different Insulin Pump Systems.Diabetes technology & therapeutics · 2019Article
- Real-world practice level data analysis confirms link between variability within Blood Glucose Monitoring Strip (BGMS) and glycosylated haemoglobin (HbA1c) in Type 1 Diabetes.International journal of clinical practice · 2018Article
- Modeling of Diabetes and Its Clinical Impact.Journal of diabetes science and technology · 2018Review
- Economic Value of Improved Accuracy for Self-Monitoring of Blood Glucose Devices for Type 1 and Type 2 Diabetes in England.Journal of diabetes science and technology · 2018Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundClinical trials assessing the impact of errors in self-monitoring of blood glucose (SMBG) on the quality of glycemic control in diabetes are inherently difficult to execute. Consequently, the objectives of this study were to employ realistic computer simulation based on a validated model of the human metabolic system and to provide potentially valuable information about the relationships among SMBG errors, risk for hypoglycemia, glucose variability, and long-term glycemic control.
methodsSixteen thousand computer simulation trials were conducted using 100 simulated adults with type 1 diabetes. Each simulated subject was used in four simulation experiments aiming to assess the impact of SMBG errors on detection of hypoglycemia (experiment 1), risk for hypoglycemia (experiment 2), glucose variability (experiment 3), and long-term average glucose control, i.e., estimated hemoglobin A1c (HbA1c)(experiment 4). Each experiment was repeated 10 times at each of four increasing levels of SMBG errors: 5, 10, 15, and 20% deviation from the true blood glucose value.
resultsWhen the permitted SMBG error increased from 0 to 5-10% to 15-20%-the current level allowed by International Organization for Standardization 15197-(1) the probability for missing blood glucose readings of 60 mg/dl increased from 0 to 0-1% to 3.5-10%; (2) the incidence of hypoglycemia, defined as reference blood glucose <or=70 mg/dl, changed from 0 to 0-0% to 0.1-5.5%; (3) glucose variability increased as well, as indicated by control variability grid analysis; and (4) the incidence of hypoglycemia increased from 15.0 to 15.2-18.8% to 22-25.6%. When compensating for this increase, glycemic control deteriorated with HbA1c increasing gradually from 7.00 to 7.01-7.12% to 7.26-7.40%.
conclusionsA number of parameters of glycemic control deteriorated substantially with the increase of permitted SMBG errors, as revealed by a series of computer simulations (e.g., in silico) experiments. A threshold effect apparent between 10 and 15% permitted SMBG error for most parameters, except for HbA1c, which appeared to be increasing relatively linearly with increasing SMBG error above 10%.
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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 OpenQuestion graph.