ArticleJournal of diabetes research2016
Modeling and Measurement of Correlation between Blood and Interstitial Glucose Changes.
Article in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
11 citing papers in PubMed, 35 citations in OpenAlex.
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- Should continuous glucose monitoring be used to manage neonates at risk of hypoglycaemia?Frontiers in pediatrics · 2023Review
- Wearable chemical sensors for biomarker discovery in the omics era.Nature reviews. Chemistry · 2022Review
- Flash glucose monitoring system in special situations.Archives of endocrinology and metabolism · 2022Review
- Connexins and Glucose Metabolism in Cancer.International journal of molecular sciences · 2022Review
- Microneedle-Based Glucose Sensor Platform: FromBiosensors · 2022Review
- Continuous monitoring of diabetes with an integrated microneedle biosensing device through 3D printing.Microsystems & nanoengineering · 2021Article
- System Accuracy Assessment of a Combined Invasive and Noninvasive Glucometer.Journal of diabetes science and technology · 2020Article
- Review of Non-invasive Glucose Sensing Techniques: Optical, Electrical and Breath Acetone.Sensors (Basel, Switzerland) · 2020Review
- Corrigendum to "Modeling and Measurement of Correlation between Blood and Interstitial Glucose Changes".Journal of diabetes researchArticle
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
One of the most effective methods for continuous blood glucose monitoring is to continuously measure glucose in the interstitial fluid (ISF). However, multiple physiological factors can modulate glucose concentrations and affect the lag phase between blood and ISF glucose changes. This study aims to develop a compensatory tool for measuring the delay in ISF glucose variations in reference to blood glucose changes. A theoretical model was developed based on biophysics and physiology of glucose transport in the microcirculation system. Blood and interstitial fluid glucose changes were measured in mice and rats by fluorescent and isotope methods, respectively. Computer simulation mimicked curves were fitted with data resulting from fluorescent measurements of mice and isotope measurements of rats, indicating that there were lag times for ISF glucose changes. It also showed that there was a required diffusion distance for glucose to travel from center of capillaries to interstitial space in both mouse and rat models. We conclude that it is feasible with the developed model to continuously monitor dynamic changes of blood glucose concentration through measuring glucose changes in ISF with high accuracy, which requires correct parameters for determining and compensating for the delay time of glucose changes in ISF.
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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.