ArticleDiabetes technology & therapeutics2014
Clinical evaluation of an automated artificial pancreas using zone-model predictive control and health monitoring system.
Article in Diabetes technology & therapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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.
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
30 citing papers in PubMed, 59 citations in OpenAlex.
- Artificial Pancreas: Clinical Study in Latin America Without Premeal Insulin Boluses.Journal of diabetes science and technology · 2018Trial
- Fully Closed-Loop Multiple Model Probabilistic Predictive Controller Artificial Pancreas Performance in Adolescents and Adults in a Supervised Hotel Setting.Diabetes technology & therapeutics · 2018Trial
- Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas.Journal of diabetes science and technology · 2018Trial
- Manual Closed-Loop Insulin Delivery Using a Saddle Point Model Predictive Control Algorithm: Results of a Crossover Randomized Overnight Study.Journal of diabetes science and technology · 2017Trial
- Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial.Diabetes care · 2017Trial
- Outpatient Closed-Loop Control with Unannounced Moderate Exercise in Adolescents Using Zone Model Predictive Control.Diabetes technology & therapeutics · 2017Trial
- Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas.Diabetes care · 2016Trial
- Adjustment of Open-Loop Settings to Improve Closed-Loop Results in Type 1 Diabetes: A Multicenter Randomized Trial.The Journal of clinical endocrinology and metabolism · 2015Trial
- On the road to fully automated insulin delivery: A systematic review of meal announcement free algorithms.PLOS digital health · 2026Article
- Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes.Diagnostics (Basel, Switzerland) · 2023Article
- Review
- Using an Online Disturbance Rejection and Anticipation System to Reduce Hyperglycemia in a Fully Closed-Loop Artificial Pancreas System.Journal of diabetes science and technology · 2022Article
- Improving Glucose Prediction Accuracy in Physically Active Adolescents With Type 1 Diabetes.Journal of diabetes science and technology · 2019Article
- Feasibility of Early Meal Detection Based on Abdominal Sound.IEEE journal of translational engineering in health and medicine · 2019Article
- Multivariable Artificial Pancreas for Various Exercise Types and Intensities.Diabetes technology & therapeutics · 2018Article
- Evaluation of an Artificial Pancreas with Enhanced Model Predictive Control and a Glucose Prediction Trust Index with Unannounced Exercise.Diabetes technology & therapeutics · 2018Article
- Multi-level Supervision and Modification of Artificial Pancreas Control System.Computers & chemical engineering · 2018Article
- Automatic Detection and Estimation of Unannounced Meals for Multivariable Artificial Pancreas System.Diabetes technology & therapeutics · 2018Article
- Event-Triggered Model Predictive Control for Embedded Artificial Pancreas Systems.IEEE transactions on bio-medical engineering · 2018Article
- Design and Clinical Evaluation of a Novel Low-Glucose Prediction Algorithm with Mini-Dose Stable Glucagon Delivery in Post-Bariatric Hypoglycemia.Diabetes technology & therapeutics · 2018Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThis study was performed to evaluate the safety and efficacy of a fully automated artificial pancreas using zone-model predictive control (zone-MPC) with the health monitoring system (HMS) during unannounced meals and overnight and exercise periods. SUBJECTS AND
methodsA fully automated closed-loop artificial pancreas was evaluated in 12 subjects (eight women, four men) with type 1 diabetes (mean±SD age, 49.4±10.4 years; diabetes duration, 32.7±16.0 years; glycosylated hemoglobin, 7.3±1.2%). The zone-MPC controller used an a priori model that was initialized using the subject's total daily insulin. The controller was designed to keep glucose levels between 80 and 140 mg/dL. A hypoglycemia prediction algorithm, a module of the HMS, was used in conjunction with the zone controller to alert the user to consume carbohydrates if the glucose level was predicted to fall below 70 mg/dL in the next 15 min.
resultsThe average time spent in the 70-180 mg/dL range, measured by the YSI glucose and lactate analyzer (Yellow Springs Instruments, Yellow Springs, OH), was 80% for the entire session, 92% overnight from 12 a.m. to 7 a.m., and 69% and 61% for the 5-h period after dinner and breakfast, respectively. The time spent < 60 mg/dL for the entire session by YSI was 0%, with no safety events. The HMS sent appropriate warnings to prevent hypoglycemia via short and multimedia message services, at an average of 3.8 treatments per subject.
conclusionsThe combination of the zone-MPC controller and the HMS hypoglycemia prevention algorithm was able to safely regulate glucose in a tight range with no adverse events despite the challenges of unannounced meals and moderate exercise.
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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.