Trial reportDiabetes care2013
Day and night closed-loop control in adults with type 1 diabetes: a comparison of two closed-loop algorithms driving continuous subcutaneous insulin infusion versus patient self-management.
Trial report in Diabetes care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- Predictive Hyperglycemia and Hypoglycemia Minimization: In-Home Evaluation of Safety, Feasibility, and Efficacy in Overnight Glucose Control in Type 1 Diabetes.Diabetes care · 2017Trial
- Improved Postprandial Glycemic Control with Faster-Acting Insulin Aspart in Patients with Type 1 Diabetes Using Continuous Subcutaneous Insulin Infusion.Diabetes technology & therapeutics · 2017Trial
- Trial
- Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas.Diabetes care · 2016Trial
- Unsupervised home use of an overnight closed-loop system over 3-4 weeks: a pooled analysis of randomized controlled studies in adults and adolescents with type 1 diabetes.Diabetes, obesity & metabolism · 2015Trial
- Use of microdialysis-based continuous glucose monitoring to drive real-time semi-closed-loop insulin infusion.Journal of diabetes science and technology · 2014Trial
- Home use of closed-loop insulin delivery for overnight glucose control in adults with type 1 diabetes: a 4-week, multicentre, randomised crossover study.The lancet. Diabetes & endocrinology · 2014Trial
- The Minimally-Invasive Oral Glucose Minimal Model: Estimation of Gastric Retention, Glucose Rate of Appearance, and Insulin Sensitivity From Type 1 Diabetes Data Collected in Real-Life Conditions.IEEE transactions on bio-medical engineering · 2024Article
- ONBOARD: A Feasibility Study of a Telehealth-Based Continuous Glucose Monitoring Adoption Intervention for Adults with Type 1 Diabetes.Diabetes technology & therapeutics · 2021Article
- Help when you need it: Perspectives of adults with T1D on the support and training they would have wanted when starting CGM.Diabetes research and clinical practice · 2021Article
- Diabetes Technology: Monitoring, Analytics, and Optimal Control.Cold Spring Harbor perspectives in medicine · 2019Review
- Multi-level Supervision and Modification of Artificial Pancreas Control System.Computers & chemical engineering · 2018Article
- Automated closed-loop control of diabetes: the artificial pancreas.Bioelectronic medicine · 2018Review
- Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.Sensors (Basel, Switzerland) · 2017Article
- Remote Blood Glucose Monitoring in mHealth Scenarios: A Review.Sensors (Basel, Switzerland) · 2016Review
- AP@home: The Artificial Pancreas Is Now at Home.Journal of diabetes science and technology · 2016Review
- The Artificial Pancreas in 2016: A Digital Treatment Ecosystem for Diabetes.Diabetes care · 2016Article
- Report from IPITA-TTS Opinion Leaders Meeting on the Future of β-Cell Replacement.Transplantation · 2016Article
- Article
- Meal Detection in Patients With Type 1 Diabetes: A New Module for the Multivariable Adaptive Artificial Pancreas Control System.IEEE journal of biomedical and health informatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
35 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo compare two validated closed-loop (CL) algorithms versus patient self-control with CSII in terms of glycemic control. RESEARCH DESIGN AND
methodsThis study was a multicenter, randomized, three-way crossover, open-label trial in 48 patients with type 1 diabetes mellitus for at least 6 months, treated with continuous subcutaneous insulin infusion. Blood glucose was controlled for 23 h by the algorithm of the Universities of Pavia and Padova with a Safety Supervision Module developed at the Universities of Virginia and California at Santa Barbara (international artificial pancreas [iAP]), by the algorithm of University of Cambridge (CAM), or by patients themselves in open loop (OL) during three hospital admissions including meals and exercise. The main analysis was on an intention-to-treat basis. Main outcome measures included time spent in target (glucose levels between 3.9 and 8.0 mmol/L or between 3.9 and 10.0 mmol/L after meals).
resultsTime spent in the target range was similar in CL and OL: 62.6% for OL, 59.2% for iAP, and 58.3% for CAM. While mean glucose level was significantly lower in OL (7.19, 8.15, and 8.26 mmol/L, respectively) (overall P = 0.001), percentage of time spent in hypoglycemia (<3.9 mmol/L) was almost threefold reduced during CL (6.4%, 2.1%, and 2.0%) (overall P = 0.001) with less time ≤2.8 mmol/L (overall P = 0.038). There were no significant differences in outcomes between algorithms.
conclusionsBoth CAM and iAP algorithms provide safe glycemic control.
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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.