ArticleBiosensors2018
Limits to the Evaluation of the Accuracy of Continuous Glucose Monitoring Systems by Clinical Trials.
Article in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Non-Invasive Continuous Glucose Monitoring in Patients Without Diabetes: Use in Cardiovascular Prevention-A Systematic Review.Sensors (Basel, Switzerland) · 2025Pooled it
- Trial
- Effect of Ethanol Consumption on the Accuracy of a Glucose Oxidase-Based Subcutaneous Glucose Sensor in Subjects with Type 1 Diabetes.Sensors (Basel, Switzerland) · 2022Trial
- Retrieval-Augmented Large Language Model Counseling for Continuous Glucose Monitoring in Diabetes: Source-Masked Multirater Comparative Evaluation.Journal of medical Internet research · 2026Article
- Article
- Accuracy of continuous glucose monitoring systems in intensive care unit patients: a scoping review.Intensive care medicine · 2024Article
- Analytical Performance of the FreeStyle Libre 2 Glucose Sensor in Healthy Male Adults.Sensors (Basel, Switzerland) · 2024Article
- Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations.Journal of diabetes science and technology · 2024Article
- Continuous Glucose Monitoring in Children and Adolescents with Congenital Adrenal HyperplasiaJournal of clinical research in pediatric endocrinology · 2023Observational
- Impact of Two Different Reference Measurement Procedures on Apparent System Accuracy of 18 CE-Marked Current-Generation Blood Glucose Monitoring Systems.Journal of diabetes science and technology · 2022Article
- Variation of Mean Absolute Relative Differences of Continuous Glucose Monitoring Systems Throughout the Day.Journal of diabetes science and technology · 2022Article
- Validation of the Application of Solid Contact Ion-Selective Electrode for Off-Body Sweat Ion Monitoring.Biosensors · 2022Article
- Continuous Glucose Monitoring in Healthy Adults-Possible Applications in Health Care, Wellness, and Sports.Sensors (Basel, Switzerland) · 2022Review
- Comparison of venous, capillary and interstitial blood glucose data measured during hyperbaric oxygen treatment from patients with diabetes mellitus.Diving and hyperbaric medicine · 2021Article
- Benefits of a Switch from Intermittently Scanned Continuous Glucose Monitoring (isCGM) to Real-Time (rt) CGM in Diabetes Type 1 Suboptimal Controlled Patients in Real-Life: A One-Year Prospective StudySensors (Basel, Switzerland) · 2021Article
- Tracking metabolic responses based on macronutrient consumption: A comprehensive study to continuously monitor and quantify dual markers (cortisol and glucose) in human sweat using WATCH sensor.Bioengineering & translational medicine · 2021Article
- Review of Wearable Devices and Data Collection Considerations for Connected Health.Sensors (Basel, Switzerland) · 2021Review
- Time in Range from Continuous Glucose Monitoring: A Novel Metric for Glycemic Control.Diabetes & metabolism journal · 2020Review
- Benefits and Limitations of MARD as a Performance Parameter for Continuous Glucose Monitoring in the Interstitial Space.Journal of diabetes science and technology · 2020Article
- 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systems for continuous glucose monitoring (CGM) are evolving quickly, and the data obtained are expected to become the basis for clinical decisions for many patients with diabetes in the near future. However, this requires that their analytical accuracy is sufficient. This accuracy is usually determined with clinical studies by comparing the data obtained by the given CGM system with blood glucose (BG) point measurements made with a so-called reference method. The latter is assumed to indicate the correct value of the target quantity. Unfortunately, due to the nature of the clinical trials and the approach used, such a comparison is subject to several effects which may lead to misleading results. While some reasons for the differences between the values obtained with CGM and BG point measurements are relatively well-known (e.g., measurement in different body compartments), others related to the clinical study protocols are less visible, but also quite important. In this review, we present a general picture of the topic as well as tools which allow to correct or at least to estimate the uncertainty of measures of CGM system performance.
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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 OpenQuestion graph.