ArticleJournal of diabetes science and technology2013
Algorithms for a closed-loop artificial pancreas: the case for model predictive control.
Article in Journal of diabetes science and technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03911687 (Communicating Narrative Concerns Entered by RNs), which is not on this map. Cited by 29 papers, 2 of them syntheses that pooled it.
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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.
Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- International Society for Pediatric and Adolescent Diabetes Clinical Practice Consensus Guidelines 2024: Diabetes Technologies - Insulin Delivery.Hormone research in paediatrics · 2024Guideline
- Algorithms for a closed-loop artificial pancreas: the case for proportional-integral-derivative control.Journal of diabetes science and technology · 2013Pooled it
- Fully Closed-Loop Multiple Model Probabilistic Predictive Controller Artificial Pancreas Performance in Adolescents and Adults in a Supervised Hotel Setting.Diabetes technology & therapeutics · 2018Trial
- Closed-Loop Control Without Meal Announcement in Type 1 Diabetes.Diabetes technology & therapeutics · 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
- Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas.Diabetes care · 2016Trial
- Preliminary evaluation of a new semi-closed-loop insulin therapy system over the prandial period in adult patients with type 1 diabetes: the WP6.0 Diabeloop study.Journal of diabetes science and technology · 2014Trial
- A Hybrid Closed-Loop Blood Glucose Control Algorithm with a Safety Limiter Based on Deep Reinforcement Learning and Model Predictive Control.Biosensors · 2026Article
- Validation in diabetic rats of a fully automated insulin delivery system based on impulsive offset-free MPC control.PloS one · 2025Article
- Effectiveness and safety of a model predictive control (MPC) algorithm for an artificial pancreas system in outpatients with type 1 diabetes (T1D): systematic review and meta-analysis.Diabetology & metabolic syndrome · 2022Review
- Algorithms for Automated Insulin Delivery: An Overview.Journal of diabetes science and technology · 2022Review
- Diabetes Technology Meeting 2021.Journal of diabetes science and technology · 2022Article
- New Clamp-PID Algorithm for Automated Glucose Clamps Improves Clamp Quality.Journal of diabetes science and technology · 2022Article
- An In Silico Head-to-Head Comparison of the Do-It-Yourself Artificial Pancreas Loop and Bio-Inspired Artificial Pancreas Control Algorithms.Journal of diabetes science and technology · 2022Article
- A New Meal Absorption Model for Artificial Pancreas Systems.Journal of diabetes science and technology · 2022Article
- Developing Insulin Delivery Devices with Glucose Responsiveness.Trends in pharmacological sciences · 2021Review
- Performance Analysis of Different Embedded Systems and Open-Source Optimization Packages Towards an Impulsive MPC Artificial Pancreas.Frontiers in endocrinology · 2021Article
- Embedded Model Predictive Control for a Wearable Artificial Pancreas.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2020Article
- Optimal EPO dosing in hemodialysis patients using a non-linear model predictive control approach.Journal of mathematical biology · 2019Article
- The Bio-inspired Artificial Pancreas for Type 1 Diabetes Control in the Home: System Architecture and Preliminary Results.Journal of diabetes science and technology · 2019Article
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Abstract
The relative merits of model predictive control (MPC) and proportional-integral-derivative (PID) control are discussed, with the end goal of a closed-loop artificial pancreas (AP). It is stressed that neither MPC nor PID are single algorithms, but rather are approaches or strategies that may be implemented very differently by different engineers. The primary advantages to MPC are that (i) constraints on the insulin delivery rate (and/or insulin on board) can be explicitly included in the control calculation; (ii) it is a general framework that makes it relatively easy to include the effect of meals, exercise, and other events that are a function of the time of day; and (iii) it is flexible enough to include many different objectives, from set-point tracking (target) to zone (control to range). In the end, however, it is recognized that the control algorithm, while important, represents only a portion of the effort required to develop a closed-loop AP. Thus, any number of algorithms/approaches can be successful--the engineers involved in the design must have experience with the particular technique, including the important experience of implementing the algorithm in human studies and not simply through simulation studies.
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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.