ArticleJournal of diabetes science and technology2018
The UVA/Padova Type 1 Diabetes Simulator Goes From Single Meal to Single Day.
Article in Journal of diabetes science and technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
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
68 citing papers in PubMed.
- Evaluation of a Web-Based Simulation Tool for Self-Management Support in Type 1 Diabetes: A Pilot Study.IEEE journal of biomedical and health informatics · 2023Trial
- A Human Glucoregulatory Model for the Rational Design and Evaluation of Diabetes Therapeutics.ACS pharmacology & translational science · 2026Article
- Data, Process, and Data-Driven Representations of Digital Twins in Diabetes: Scoping Review.JMIR diabetes · 2026Review
- Modeling ovarian hormone effects on glucose-insulin control in type 1 diabetes.Bioengineering & translational medicine · 2026Review
- Validating medical digital twins for clinical decision support: beyond predictive accuracy.JAMIA open · 2026Review
- Cross-fusion of digital twins and artificial intelligence in diabetes: from mechanistic elucidation to full-cycle precision management.Frontiers in endocrinology · 2026Review
- Pre-Ramadan time-below-range stratifies the simulated pump basal-rate dose-response during Ramadan fasting: a five-policy paired virtual-patient study.Frontiers in endocrinology · 2026Article
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025Review
- Modeling the effect of glucagon on endogenous glucose production in healthy individuals under meal-like conditions.American journal of physiology. Regulatory, integrative and comparative physiology · 2025Article
- What do LLMs value? An evaluation framework for revealing subjective trade-offs in assessment of glycemic control.Proceedings of machine learning research · 2025Article
- Metabolic Models, in Silico Trials, and Algorithms.Diabetes technology & therapeutics · 2025Review
- Metabolic Models, in Silico Trials, and Algorithms.Journal of diabetes science and technology · 2025Review
- Personalized Model Identification for Glucose Dynamics From Clinical Data With Incomplete Inputs.IEEE transactions on bio-medical engineering · 2025Article
- Immune-evasive beta cells in type 1 diabetes: innovations in genetic engineering, biomaterials, and computational modeling.Frontiers in immunology · 2025Review
- Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data.JMIRx med · 2024Article
- Time to Moderate and Severe Hyperglycemia and Ketonemia Following an Insulin Pump Occlusion.Journal of diabetes science and technology · 2024Review
- Validation of the UVA Simulation Replay Methodology Using Clinical Data: Reproducing a Randomized Clinical Trial.Diabetes technology & therapeutics · 2024Article
- A GENERATIVE APPROACH TO TESTING THE PERFORMANCE OF PHYSIOLOGICAL CONTROL ALGORITHMS.ASME letters in dynamic systems and control · 2024Article
- Adjusting Therapy Profiles When Switching to Ultra-Rapid Lispro in an Advanced Hybrid Closed-Loop System: An in Silico Study.Journal of diabetes science and technology · 2024Article
- Integration of a Safety Module to Prevent Rebound Hypoglycemia in Closed-Loop Artificial Pancreas Systems.Journal of diabetes science and technology · 2024Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA new version of the UVA/Padova Type 1 Diabetes (T1D) Simulator is presented which provides a more realistic testing scenario. The upgrades to the previous simulator, which was accepted by the Food and Drug Administration in 2013, are described.
methodIntraday variability of insulin sensitivity (S
resultsOne hundred in silico adults, adolescent, and children have been generated according to the above modifications. The new simulator reproduces the intraday glucose variability observed in clinical data, also describing the nocturnal glucose increase, and the simulated insulin profiles reflect real life data.
conclusionsThe new modifications introduced in the T1D simulator allow to extend its domain of validity from "single-meal" to "single-day" scenarios, thus enabling a more realistic framework for in silico testing of advanced diabetes technologies including glucose sensors, new insulin molecules and artificial pancreas.
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.