ArticlePloS one2015
Accuracy of Continuous Glucose Monitoring Measurements in Normo-Glycemic Individuals.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- The Impact of Microbial Composition on Postprandial Glycaemia and Lipidaemia: A Systematic Review of Current Evidence.Nutrients · 2021Pooled it
- The effect of timing of physical exercise on glycemia: a systematic review and meta-analysis of human intervention studies.Journal of diabetes and metabolic disorders · 2026Review
- Evaluating the agreement of continuous glucose monitoring system with venous methods for glycemic index determination.Frontiers in nutrition · 2026Article
- Managing Exercise-Related Glycemic Events in Type 1 Diabetes: Development and Validation of Predictive Models for a Practical Decision Support Tool.JMIR diabetes · 2025Article
- Glycemic Variability and Control by CGM in Healthy Older and Young Adults and Their Relationship With Diet.Journal of the Endocrine Society · 2025Article
- Associations between the timing of 24 h physical activity and diabetes mellitus: results from a nationally representative sample of the US population.Diabetologia · 2025Article
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- Parameters of glycemic variability in continuous glucose monitoring as predictors of diabetes: a prospective evaluation in a non-diabetic general population.Advances in laboratory medicine · 2025Article
- Continuous glucose monitoring in para cyclists: An observational study.European journal of sport science · 2024Observational
- Analytical Performance of the FreeStyle Libre 2 Glucose Sensor in Healthy Male Adults.Sensors (Basel, Switzerland) · 2024Article
- Myths and methodologies: Assessing glycaemic control and associated regulatory mechanisms in human physiology research.Experimental physiology · 2024Review
- Energy Availability and Interstitial Fluid Glucose Changes in Elite Male Japanese Triathletes during Training Camp: A Case Study.Nutrients · 2024Article
- Continuous Monitoring of Interstitial Fluid Glucose Responses to Endurance Exercise with Different Levels of Carbohydrate Intake.Nutrients · 2023Article
- Analytical Performance of the Factory-Calibrated Flash Glucose Monitoring System FreeStyle Libre2Sensors (Basel, Switzerland) · 2023Article
- Performance of the FreeStyle Libre Flash Glucose Monitoring System during an Oral Glucose Tolerance Test and Exercise in Healthy Adolescents.Sensors (Basel, Switzerland) · 2023Article
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- Timing of objectively-collected physical activity in relation to body weight and metabolic health in sedentary older people: a cross-sectional and prospective analysis.International journal of obesity (2005) · 2022Article
- Evaluation of Reference Metrics for Continuous Glucose Monitoring in Persons Without Diabetes and Prediabetes.Journal of diabetes science and technology · 2022Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe validity of continuous glucose monitoring (CGM) is well established in diabetic patients. CGM is also increasingly used for research purposes in normo-glycemic individuals, but the CGM validity in such individuals is unknown. We studied the accuracy of CGM measurements in normo-glycemic individuals by comparing CGM-derived versus venous blood-derived glucose levels and measures of glycemia and glycemic variability.
methodsIn 34 healthy participants (mean age 65.7 years), glucose was simultaneously measured every 10 minutes, via both an Enlite® CGM sensor, and in venous blood sampled over a 24-hour period. Validity of CGM-derived individual glucose measurements, calculated measures of glycemia over daytime (09:00h-23:00h) and nighttime (23:00h-09:00h), and calculated measures of glycemic variability (e.g. 24h standard deviation [SD]) were assessed by Pearson correlation coefficients, mean absolute relative difference (MARD) and paired t-tests.
resultsThe median correlation coefficient between CGM and venous glucose measurements per participant was 0.68 (interquartile range: 0.40-0.78), and the MARD was 17.6% (SD = 17%). Compared with venous sampling, the calculated measure of glycemia during daytime was 0.22 mmol/L higher when derived from CGM, but no difference was observed during nighttime. Most measures of glycemic variability were lower with CGM than with venous blood sampling (e.g., 24h SD: 1.07 with CGM and 1.26 with venous blood; p-value = 0.004).
conclusionIn normo-glycemic individuals, CGM-derived glucose measurements had good agreement with venous glucose levels. However, the measure of glycemia was higher during the day and most measures of glycemic variability were lower when derived from CGM.
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