Trial reportClinical chemistry2023
Within-Person and Between-Sensor Variability in Continuous Glucose Monitoring Metrics.
Trial report in Clinical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02454153 (Hyperglycemic Profiles in Obstructive Sleep Apnea), which is not on this map. Cited by 8 papers.
What it found
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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.
Hyperglycemic Profiles in Obstructive Sleep Apnea: Effects of PAP Therapy
Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Empagliflozin in HNF1A-MODY (MODY3): A Randomized, Double-Blind, Placebo-Controlled, Crossover Trial.Diabetes care · 2026Trial
- Effect of an Intensive, Integrated Telehealth Intervention on Glycemic Control in Children and Adolescents With Type 1 Diabetes Using Continuous Glucose Monitoring: A Randomized, Crossover Trial.Pediatric diabetes · 2025Trial
- Double Dummy Design for Blinding Studies With Automated Insulin Delivery Systems: A Proof of Concept Trial.Journal of diabetes science and technology · 2026Article
- Reducing bias and enhancing equity in AI-enabled precision nutrition: addressing measurement error across wearables, multiomics, and dietary data.Frontiers in digital health · 2026Review
- Consensus statement on standardizing CGM evaluation metrics in Latin America: an expert approach.Diabetology & metabolic syndrome · 2025Article
- Myths and methodologies: Assessing glycaemic control and associated regulatory mechanisms in human physiology research.Experimental physiology · 2024Review
- Glycated Albumin and Adverse Clinical Outcomes in Patients With CKD: A Prospective Cohort Study.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024Article
- The Glucose Management Indicator: Time to Change Course?Diabetes care · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe within-person and between-sensor variability of metrics from different interstitial continuous glucose monitoring (CGM) sensors in adults with type 2 diabetes not taking insulin is unclear.
methodsSecondary analysis of data from 172 participants from the Hyperglycemic Profiles in Obstructive Sleep Apnea randomized clinical trial. Participants simultaneously wore Dexcom G4 and Abbott Libre Pro CGM sensors for up to 2 weeks at baseline and again at the 3-month follow-up visit.
resultsAt baseline (up to 2 weeks of CGM), mean glucose for both the Abbott and Dexcom sensors was approximately 150 mg/dL (8.3 mmol/L) and time in range (70180 mg/dL [3.910.0 mmol/L]) was just below 80. When comparing the same sensor at 2 different time points (two 2-week periods, 3 months apart), the within-person coefficient of variation (CVw) in mean glucose was 17.4 (Abbott) and 14.2 (Dexcom). CVw for percent time in range: 20.1 (Abbott) and 18.6 (Dexcom). At baseline, the Pearson correlation of mean glucose from the 2 sensors worn simultaneously was r 0.86, root mean squared error (RMSE), 13 mg/dL (0.7 mmol/L); for time in range, r 0.88, RMSE, 8 percentage points.
conclusionsSubstantial variation was observed within sensors over time and across 2 different sensors worn simultaneously on the same individuals. Clinicians should be aware of this variability when using CGM technology to make clinical decisions.ClinicalTrials.gov Identifier: NCT02454153.
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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.