ArticleJournal of diabetes science and technology2013
Dexcom G4AP: an advanced continuous glucose monitor for the artificial pancreas.
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. Cited by 22 papers, 1 of them a synthesis that pooled it.
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
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Pooled it
- Performance of a new real-time continuous glucose monitoring system: A multicenter pilot study.Journal of diabetes investigation · 2018Trial
- Clinical accuracy of a continuous glucose monitoring system with an advanced algorithm.Journal of diabetes science and technology · 2015Trial
- Clinical Performance Evaluation of Continuous Glucose Monitoring Systems: A Scoping Review and Recommendations for Reporting.Journal of diabetes science and technology · 2023Article
- Analysis of "Multicenter Evaluation Study Comparing a New Factory-Calibrated Real-Time Continuous Glucose Monitoring System to Existing Flash Glucose Monitoring System".Journal of diabetes science and technology · 2023Article
- Inaccurate Glucose Sensor Values After Hydroxyurea Administration.Diabetes technology & therapeutics · 2021Article
- Benefits and Limitations of MARD as a Performance Parameter for Continuous Glucose Monitoring in the Interstitial Space.Journal of diabetes science and technology · 2020Article
- Performance and Usability of Three Systems for Continuous Glucose Monitoring in Direct Comparison.Journal of diabetes science and technology · 2019Article
- Glucose Sensing in the Subcutaneous Tissue: Attempting to Correlate the Immune Response with Continuous Glucose Monitoring Accuracy.Diabetes technology & therapeutics · 2018Article
- Calibration of Minimally Invasive Continuous Glucose Monitoring Sensors: State-of-The-Art and Current Perspectives.Biosensors · 2018Review
- Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor.Sensors (Basel, Switzerland) · 2017Article
- Future of Automated Insulin Delivery Systems.Diabetes technology & therapeutics · 2017Review
- Factory-Calibrated Continuous Glucose Sensors: The Science Behind the Technology.Diabetes technology & therapeutics · 2017Article
- Continuous Glucose Monitoring Sensors: Past, Present and Future Algorithmic Challenges.Sensors (Basel, Switzerland) · 2016Review
- A Review of Safety and Design Requirements of the Artificial Pancreas.Annals of biomedical engineering · 2016Review
- The Rationale for Continuous Glucose Monitoring-based Diabetes Treatment Decisions and Non-adjunctive Continuous Glucose Monitoring Use.European endocrinology · 2016Review
- Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices.Medical & biological engineering & computing · 2015Article
- Hypoglycemia Reduction and Accuracy of Continuous Glucose Monitoring.Diabetes technology & therapeutics · 2015Article
- Multisite Study of an Implanted Continuous Glucose Sensor Over 90 Days in Patients With Diabetes Mellitus.Journal of diabetes science and technology · 2015Article
- HypoDE: Research Design and Methods of a Randomized Controlled Study Evaluating the Impact of Real-Time CGM Usage on the Frequency of CGM Glucose Values <55 mg/dl in Patients With Type 1 Diabetes and Problematic Hypoglycemia Treated With Multiple Daily Injections.Journal of diabetes science and technology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Input from continuous glucose monitors (CGMs) is a critical component of artificial pancreas (AP) systems, but CGM performance issues continue to limit progress in AP research. While G4 PLATINUM has been integrated into AP systems around the world and used in many successful AP controller feasibility studies, this system was designed to address the needs of ambulatory CGM users as an adjunctive use system. Dexcom and the University of Padova have developed an advanced CGM, called G4AP, to specifically address the heightened performance requirements for future AP studies. The G4AP employs the same sensor and transmitter as the G4 PLATINUM but contains updated denoising and calibration algorithms for improved accuracy and reliability. These algorithms were applied to raw data from an existing G4 PLATINUM clinical study using a simulated prospective procedure. The results show that mean absolute relative difference (MARD) compared with venous plasma glucose was improved from 13.2% with the G4 PLATINUM to 11.7% with the G4AP. Accuracy improvements were seen over all days of sensor wear and across the plasma glucose range (40-400 mg/dl). The greatest improvements occurred in the low glucose range (40-80 mg/dl), in euglycemia (80-120 mg/dl), and on the first day of sensor use. The percentage of sensors with a MARD <15% increased from 69% to 80%. Metrics proposed by the AP research community for addressing specific AP requirements were also computed. The G4AP consistently exhibited improved sensor performance compared with the G4 PLATINUM. These improvements are expected to enable further advances in AP research.
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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.