ReviewJournal of diabetes science and technology2022
Algorithms for Automated Insulin Delivery: An Overview.
Review in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 49 citations in OpenAlex.
- Algorithm-guided insulin therapy in hospitalized patients: current evidence, implementation challenges, and future perspectives.Reviews in endocrine & metabolic disorders · 2026Review
- Twelve-Month Real-World Use of an Advanced Hybrid Closed-Loop System Versus Previous Therapy in a Dutch Center For Specialized Type 1 Diabetes Care.Journal of diabetes science and technology · 2026Article
- Artificial intelligence in mobile health applications: A comprehensive review of its role in diabetes care.World journal of methodology · 2026Review
- What is the impact of an advanced hybrid closed-loop system on weight control among people with type 1 diabetes?Diabetes, obesity & metabolism · 2026Article
- Future-aware blood glucose forecasting using knowledge distillation with transformer-based sequence-to-sequence models.Scientific reports · 2026Article
- Editorial: Mechanistic, machine learning and hybrid models of the 'other' endocrine regulatory systems in health and disease, volume II.Frontiers in endocrinology · 2026Article
- Mitigating Neural Habituation in Insect Bio-Bots: A Dual-Timescale Adaptive Control Approach.Biomimetics (Basel, Switzerland) · 2025Article
- Use of continuous glucose monitoring systems in pediatric patients in the perioperative environment: Challenges and machine learning opportunities.World journal of clinical pediatrics · 2025Review
- Artificial Intelligence in Diabetes Care: Applications, Challenges, and Opportunities Ahead.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025Review
- An overview of the t:slim X2 and Mobi insulin pumps with Control-IQ technology: patient safety and device efficacy.Expert review of medical devices · 2025Review
- A Review of Real-World Evidence About the Use of Automated Insulin Delivery Systems in People With Type 1 Diabetes.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025Review
- The Pharmaceutical Industry's Future: How Artificial Intelligence is Transforming Medicine.Advanced pharmaceutical bulletin · 2025Review
- Evaluating Insulin Delivery Systems Using Dynamic Glucose Region Plots and Risk Space Analysis.Sensors (Basel, Switzerland) · 2025Article
- Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes.PLOS digital health · 2025Article
- Long-Term Performance of Two Systems for Automated Insulin Delivery in Adults With Type 1 Diabetes: An Observational Study.Endocrinology, diabetes & metabolism · 2025Observational
- Precision medicine in type 1 diabetes: comparing metabolic outcomes of Control-IQ and MiniMed 780G according to patient characteristics.Diabetes, obesity & metabolism · 2025Article
- Molecular Research on Diabetes.International journal of molecular sciences · 2025Article
- Advancements in Insulin Pumps: A Comprehensive Exploration of Insulin Pump Systems, Technologies, and Future Directions.Pharmaceutics · 2024Review
- Impact on Glycemia Risk Index and other metrics in type 1 adult patients switching to Advanced Hybrid Closed-Loop systems: a one-year real-life experience.European journal of medical research · 2024Observational
- Supporting the Use of a Person's Own Diabetes Technology in the Inpatient Setting.Diabetes spectrum : a publication of the American Diabetes Association · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The technology needed to "close the loop," that is, a system for continuous glucose monitoring and a pump that infuses insulin, are only 2 of the 3 components needed for each system for automated insulin delivery (AID), the other is a "translation" of the glucose information into the appropriate amount of insulin to be applied at a given point in time to keep glucose levels in the body in the target range. It might look straightforward to calculate the required insulin dose and control the pump to apply this immediately; however, once a given amount of insulin is in the body, it will be absorbed and become metabolically active. To avoid lowering glucose levels toward too low levels, the algorithms used to calculate the insulin dose have to take a number of other factors into account. This is needed to make sure that AID systems are not only efficient but also safe, that is, not only Time-in-Range should be maximal, also Time-below-Range should be minimal. The review characterizes the different types of AID algorithms that were developed in the last decades. Using a structured approach, the different algorithms are classified. A systematic evaluation of the performance of the different algorithms is missing, not only during the clinical development of AID systems, but also in daily practice. However, it might very well be that other factors determine which AID algorithms will be used in practice.
Indexed as
Identifiers
What OpenQuestion holds
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.