Trial reportJournal of diabetes science and technology2015
Stress Testing of an Artificial Pancreas System With Pizza and Exercise Leads to Improvements in the System's Fuzzy Logic Controller.
Trial report in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03748251 (Demystifying the Pizza Bolus), which is not on this map. Cited by 13 papers.
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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.
Demystifying the Pizza Bolus: the Effect of Dough Fermentation Time on Glycemic Response in Children With Type 1 Diabetes Mellitus Receiving Sensor-augmented Pump Therapy
Who cites it
13 citing papers in PubMed.
- Real-Life Performance of Automated Insulin Delivery Systems for High-Carbohydrate Meals: Are All Systems the Same?Diabetes technology & therapeutics · 2025Observational
- Adaptive Personalized Prior-Knowledge-Informed Model Predictive Control for Type 1 Diabetes.Control engineering practice · 2023Article
- Automated Insulin Delivery Algorithms.Diabetes spectrum : a publication of the American Diabetes Association · 2019Article
- Improving Glucose Prediction Accuracy in Physically Active Adolescents With Type 1 Diabetes.Journal of diabetes science and technology · 2019Article
- Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.Population health management · 2019Review
- Performance of Omnipod Personalized Model Predictive Control Algorithm with Moderate Intensity Exercise in Adults with Type 1 Diabetes.Diabetes technology & therapeutics · 2019Article
- Optimal regulation of blood glucose level in Type I diabetes using insulin and glucagon.PloS one · 2019Article
- Multivariable Artificial Pancreas for Various Exercise Types and Intensities.Diabetes technology & therapeutics · 2018Article
- Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.Journal of medical Internet research · 2018Review
- Artificial Intelligence Methodologies and Their Application to Diabetes.Journal of diabetes science and technology · 2018Article
- Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes.Current diabetes reports · 2017Review
- Enhanced Model Predictive Control (eMPC) Strategy for Automated Glucose Control.Industrial & engineering chemistry research · 2016Article
- Artificial Pancreas Device Systems for the Closed-Loop Control of Type 1 Diabetes: What Systems Are in Development?Journal of diabetes science and technology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnder controlled conditions, the Dose Safety artificial pancreas (AP) system controller, which utilizes "fuzzy logic" (FL) methodology to calculate and deliver appropriate insulin dosages based on changes in blood glucose, successfully managed glycemic excursions. The aim of this study was to show whether stressing the system with pizza (high carbohydrate/high fat) meals and exercise would reveal deficits in the performance of the Dose Safety FL controller (FLC) and lead to improvements in the dosing matrix.
methodsTen subjects with type 1 diabetes (T1D) were enrolled and participated in 30 studies (17 meal, 13 exercise) using 2 versions of the FLC. After conducting 13 studies with the first version (FLC v2.0), interim results were evaluated and the FLC insulin-dosing matrix was modified to create a new controller version (FLC v2.1) that was validated through regression testing using v2.0 CGM datasets prior to its use in clinical studies. The subsequent 17 studies were performed using FLC v2.1.
resultsUse of FLC v2.1 vs FLC v2.0 in the pizza meal tests showed improvements in mean blood glucose (205 mg/dL vs 232 mg/dL, P = .04). FLC v2.1 versus FLC v2.0 in exercise tests showed improvements in mean blood glucose (146 mg/dL vs 201 mg/dL, P = .004), percentage time spent >180 mg/dL (19.3% vs 46.7%, P = .001), and percentage time spent 70-180 mg/dL (80.0% vs 53.3%, P = .002).
conclusionStress testing the AP system revealed deficits in the FLC performance, which led to adjustments to the dosing matrix followed by improved FLC performance when retested.
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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.