ArticleDiabetes technology & therapeutics2017
A Simple Composite Metric for the Assessment of Glycemic Status from Continuous Glucose Monitoring Data: Implications for Clinical Practice and the Artificial Pancreas.
Article in Diabetes technology & therapeutics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- Assessment of Glucose Control Metrics by Discriminant Ratio.Diabetes technology & therapeutics · 2020Trial
- Simulating Realistic Continuous Glucose Monitor Time Series By Data Augmentation.Journal of diabetes science and technology · 2025Article
- Glycemic deviation index: a novel method of integrating glycemic numerical value and variability.BMC endocrine disorders · 2021Article
- Updated Software for Automated Assessment of Glucose Variability and Quality of Glycemic Control in Diabetes.Diabetes technology & therapeutics · 2020Article
- A Review of Continuous Glucose Monitoring-Based Composite Metrics for Glycemic Control.Diabetes technology & therapeutics · 2020Review
- Diabetes Healthcare Professionals Use Multiple Continuous Glucose Monitoring Data Indicators to Assess Glucose Management.Journal of diabetes science and technology · 2020Article
- Patterns of Glycemic Variability During a Diabetes Self-Management Educational Program.Medical sciences (Basel, Switzerland) · 2019Article
- Calculating the Mean Amplitude of Glycemic Excursions from Continuous Glucose Data Using an Open-Code Programmable Algorithm Based on the Integer Nonlinear Method.Computational and mathematical methods in medicine · 2018Article
- Glycemic Variability Percentage: A Novel Method for Assessing Glycemic Variability from Continuous Glucose Monitor Data.Diabetes technology & therapeutics · 2018Article
- The Future of Continuous Glucose Monitoring.Diabetes technology & therapeutics · 2017Article
- Towards a Rational Balanced Pancreatic and Islet Allocation Schema.Cell transplantationArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe potential clinical benefits of continuous glucose monitoring (CGM) have been recognized for many years, but CGM is used by a small fraction of patients with diabetes. One obstacle to greater use of the technology is the lack of simplified tools for assessing glycemic control from CGM data without complicated visual displays of data.
methodsWe developed a simple new metric, the personal glycemic state (PGS), to assess glycemic control solely from continuous glucose monitoring data. PGS is a composite index that assesses four domains of glycemic control: mean glucose, glycemic variability, time in range and frequency and severity of hypoglycemia. The metric was applied to data from six clinical studies for the G4 Platinum continuous glucose monitoring system (Dexcom, San Diego, CA). The PGS was also applied to data from a study of artificial pancreas comparing results from open loop and closed loop in adolescents and in adults.
resultsThe new metric for glycemic control, PGS, was able to characterize the quality of glycemic control in a wide range of study subjects with various mean glucose, minimal, moderate, and excessive glycemic variability and subjects on open loop versus closed loop control.
conclusionA new composite metric for the assessment of glycemic control based on CGM data has been defined for use in assessing glycemic control in clinical practice and research settings. The new metric may help rapidly identify problems in glycemic control and may assist with optimizing diabetes therapy during time-constrained physician office visits.
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