ReviewThe lancet. Diabetes & endocrinology2022
Open-source automated insulin delivery: international consensus statement and practical guidance for health-care professionals.
Review in The lancet. Diabetes & endocrinology, 2022. 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 49 papers, 2 of them syntheses that pooled it.
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
49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 103 citations in OpenAlex.
- Efficacy of the hybrid closedloop insulin delivery system in children and adolescents with type 1 diabetes: a meta-analysis with trial sequential analysis.Archives of endocrinology and metabolism · 2024Pooled it
- International Society for Pediatric and Adolescent Diabetes Clinical Practice Consensus Guidelines 2024: Diabetes Technologies - Insulin Delivery.Hormone research in paediatrics · 2024Guideline
- Trial
- A Randomized Crossover Pilot Study Evaluating Glucose Control During Exercise Initiated 1 or 2 h After a Meal in Adults with Type 1 Diabetes Treated with an Automated Insulin Delivery System.Diabetes technology & therapeutics · 2023Trial
- Advances in diabetes technology: clinical implications, limitations, and future perspectives.Hormones (Athens, Greece) · 2026Review
- Comparison of Glucose Management Between Open-Source Loop and Tandem Control-IQ Automated Insulin Delivery Systems in Adults With Type 1 Diabetes.Diabetes, obesity & metabolism · 2026Article
- Efficacy and Safety of Open-Source Hybrid Closed-Loop Automated Insulin Delivery in Perioperative Patients.Biomedicines · 2026Article
- Efficacy, safety, and legal considerations of do-it-yourself artificial pancreas systems: a position statement from italian diabetes societies.Acta diabetologica · 2026Article
- Use of High-Potency GLP-1 Receptor Agonists With OpenAPS Automated Insulin Dosing Algorithm Eliminates Need for Meal Announcements to Achieve Glycemic Goals.Diabetes care · 2026Article
- Fully closed-loop systems: can people with type 1 diabetes just do it? Insights from open-source systems.Diabetologia · 2026Review
- Despite lower haemoglobin A1c with second-generation automated insulin delivery systems, mental burden remains high for all adults with type 1 diabetes: A BETTER registry analysis.Diabetes, obesity & metabolism · 2026Article
- Towards better Diabetes Data Rights: Data protection, data 'ownership', and developing a patient charter.Diabetic medicine : a journal of the British Diabetic Association · 2026Article
- Automated insulin delivery system use and physical activity levels in adults with type 1 diabetes: A BETTER registry analysis.Diabetic medicine : a journal of the British Diabetic Association · 2026Article
- Transformations in Diabetes Care: Lessons From Commons-Based, Peer-Produced Citizen Science.Sociology of health & illness · 2026Article
- Impact of Automated Insulin Delivery on Glycemic Profile and Maternal/Neonatal Outcomes in Pregnancy: A Review of the Evidence From Observational Studies.Journal of diabetes science and technology · 2026Review
- 7. Diabetes Technology: Standards of Care in Diabetes-2026.Diabetes care · 2026Review
- Examining the Emotional and Physical Health Impact in Users of Open-Source Automated Insulin Delivery and Sources of Support: Qualitative Analysis of Patient Narratives.Journal of medical Internet research · 2025Article
- 7. Diabetes Technology: Standards of Care in Diabetes-2025.Diabetes care · 2025Review
- Effective blood glucose control in Chinese children with type 1 diabetes via a do-it-yourself artificial pancreas system: a single-center study.Therapeutic advances in endocrinology and metabolism · 2025Article
- Automating insulin delivery through pump and continuous glucose monitoring connectivity: Maximizing opportunities to improve outcomes.Diabetes, obesity & metabolism · 2024Review
Corrections and comments
- Erratum issued
Authors and funding
13 authors at 9 institutions in 7 countries.
Funding
Abstract
Open-source automated insulin delivery systems, commonly referred to as do-it-yourself automated insulin delivery systems, are examples of user-driven innovations that were co-created and supported by an online community who were directly affected by diabetes. Their uptake continues to increase globally, with current estimates suggesting several thousand active users worldwide. Real-world user-driven evidence is growing and provides insights into safety and effectiveness of these systems. The aim of this consensus statement is two-fold. Firstly, it provides a review of the current evidence, description of the technologies, and discusses the ethics and legal considerations for these systems from an international perspective. Secondly, it provides a much-needed international health-care consensus supporting the implementation of open-source systems in clinical settings, with detailed clinical guidance. This consensus also provides important recommendations for key stakeholders that are involved in diabetes technologies, including developers, regulators, and industry, and provides medico-legal and ethical support for patient-driven, open-source innovations.
Indexed as
Identifiers
What Socratic 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 Socratic graph.