ArticleJournal of diabetes science and technology2014
The Minimum Duration of Sensor Data From Which Glycemic Variability Can Be Consistently Assessed.
Article in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Assessment of Glucose Control Metrics by Discriminant Ratio.Diabetes technology & therapeutics · 2020Trial
- Continuous Glucose Monitoring and Insulin Informed Advisory System with Automated Titration and Dosing of Insulin Reduces Glucose Variability in Type 1 Diabetes Mellitus.Diabetes technology & therapeutics · 2018Trial
- The Impact of Insulin Pump Therapy on Glycemic Profiles in Patients with Type 2 Diabetes: Data from the OpT2mise Study.Diabetes technology & therapeutics · 2016Trial
- Continuous glucose monitoring as a tool in early-stage type 1 diabetes.Diabetologia · 2026Review
- Impact of Missing Data and Monitoring Duration on Downstream Analyses in Continuous Glucose Monitoring.Diabetes care · 2026Article
- Clinical relevance of short-term glycemic variability in children and adolescents with type 1 diabetes: a narrative review.Translational pediatrics · 2024Review
- Impact of a Basal-Bolus Insulin Regimen on Metabolic Control and Risk of Hypoglycemia in Patients With Diabetes Undergoing Peritoneal Dialysis.Journal of diabetes science and technology · 2018Article
- Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes.Diabetes technology & therapeutics · 2017Review
- A Simple Composite Metric for the Assessment of Glycemic Status from Continuous Glucose Monitoring Data: Implications for Clinical Practice and the Artificial Pancreas.Diabetes technology & therapeutics · 2017Article
- Feasibility and acceptability of ambulatory glucose profile in children with Type 1 diabetes mellitus: A pilot study.Indian journal of endocrinology and metabolismArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite much discussion regarding the clinical relevance of glycemic variation (GV), little discourse has addressed the properties of the data set from which it is derived. We aimed to assess the minimum duration of data required using continuous glucose monitoring (CGM) that most closely approximates to a gold standard 90-day measure. Data from 20 children and adolescents with type 1 diabetes were examined. All participants had CGM data sets of 90 days duration, from which standard deviation (SD), coefficient of variation (CV), mean amplitude of glycemic action (MAGE), and continuous overlapping net glycemic action (CONGA
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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.