Trial reportChaos (Woodbury, N.Y.)2014
Dynamical glucometry: use of multiscale entropy analysis in diabetes.
Trial report in Chaos (Woodbury, N.Y.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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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
29 citing papers in PubMed, 64 citations in OpenAlex.
- Improved detection of decreased glucose handling capacities via continuous glucose monitoring-derived indices.Communications medicine · 2025Article
- Chronobiologically-informed features from CGM data provide unique information for XGBoost prediction of longer-term glycemic dysregulation in 8,000 individuals with type-2 diabetes.PLOS digital health · 2025Article
- Diabetes alters cardiorespiratory dynamics: insights from short-term recurrence quantification analysis of pulse-respiration quotient.Frontiers in physiology · 2025Article
- The complexity of glucose time series is associated with short- and long-term mortality in critically ill adults: a multi-center, prospective, observational study.Journal of endocrinological investigation · 2024Observational
- Impact of the Complexity of Glucose Time Series on All-Cause Mortality in Patients With Type 2 Diabetes.The Journal of clinical endocrinology and metabolism · 2023Article
- Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated with deteriorating glucose regulation.Frontiers of medicine · 2023Article
- Next-Generation Personalized Medicine: Implementation of Variability Patterns for Overcoming Drug Resistance in Chronic Diseases.Journal of personalized medicine · 2022Review
- A Subject-Tailored Variability-Based Platform for Overcoming the Plateau Effect in Sports Training: A Narrative Review.International journal of environmental research and public health · 2022Review
- Suppressing the Influence of Ectopic Beats by Applying a Physical Threshold-Based Sample Entropy.Entropy (Basel, Switzerland) · 2020Article
- Dynamic properties of glucose complexity during the course of critical illness: a pilot study.Journal of clinical monitoring and computing · 2020Observational
- Heart rate fragmentation: using cardiac pacemaker dynamics to probe the pace of biological aging.American journal of physiology. Heart and circulatory physiology · 2019Article
- Decreased complexity of glucose dynamics in diabetes in rhesus monkeys.Scientific reports · 2019Article
- Analyzing Complexity and Fractality of Glucose Dynamics in a Pregnant Woman with Type 2 Diabetes under Treatment.International journal of biological sciences · 2019Article
- Performance, complexity and dynamics of force maintenance and modulation in young and older adults.PloS one · 2019Article
- Article
- A Personalized Signature and Chronotherapy-Based Platform for Improving the Efficacy of Sepsis Treatment.Frontiers in physiology · 2019Review
- Investigation of glucose fluctuations by approaches of multi-scale analysis.Medical & biological engineering & computing · 2018Article
- Heart Rate Fragmentation as a Novel Biomarker of Adverse Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis.Frontiers in physiology · 2018Article
- Applications of Variability Analysis Techniques for Continuous Glucose Monitoring Derived Time Series in Diabetic Patients.Frontiers in physiology · 2018Article
- Associations of blood glucose dynamics with antihyperglycemic treatment and glycemic variability in type 1 and type 2 diabetes.Journal of endocrinological investigation · 2017Article
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
Diabetes mellitus (DM) is one of the world's most prevalent medical conditions. Contemporary management focuses on lowering mean blood glucose values toward a normal range, but largely ignores the dynamics of glucose fluctuations. We probed analyte time series obtained from continuous glucose monitor (CGM) sensors. We show that the fluctuations in CGM values sampled every 5 min are not uncorrelated noise. Next, using multiscale entropy analysis, we quantified the complexity of the temporal structure of the CGM time series from a group of elderly subjects with type 2 DM and age-matched controls. We further probed the structure of these CGM time series using detrended fluctuation analysis. Our findings indicate that the dynamics of glucose fluctuations from control subjects are more complex than those of subjects with type 2 DM over time scales ranging from about 5 min to 5 h. These findings support consideration of a new framework, dynamical glucometry, to guide mechanistic research and to help assess and compare therapeutic interventions, which should enhance complexity of glucose fluctuations and not just lower mean and variance of blood glucose levels.
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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.