ArticleFrontiers in physiology2018
Applications of Variability Analysis Techniques for Continuous Glucose Monitoring Derived Time Series in Diabetic Patients.
Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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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Who cites it
7 citing papers in PubMed.
- Reproducibility of continuous glucose monitoring results under real-life conditions in an adult population: a functional data analysis.Scientific reports · 2023Article
- 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
- Nonlinear Dynamics of Reaction Time and Time Estimation during Repetitive Test.International journal of environmental research and public health · 2022Article
- Diffusion Entropy vs. Multiscale and Rényi Entropy to Detect Progression of Autonomic Neuropathy.Frontiers in physiology · 2020Article
- 'Fat's chances': Loci for phenotypic dispersion in plasma leptin in mouse models of diabetes mellitus.PloS one · 2019Article
- Taming the Unknown Unknowns in Complex Systems: Challenges and Opportunities for Modeling, Analysis and Control of Complex (Biological) Collectives.Frontiers in physiology · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
Methods from non-linear dynamics have enhanced understanding of functional dysregulation in various diseases but received less attention in diabetes. This retrospective cross-sectional study evaluates and compares relationships between indices of non-linear dynamics and traditional glycemic variability, and their potential application in diabetes control. Continuous glucose monitoring provided data for 177 subjects with type 1 (
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Registered trials
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