EligibleTrials

Evaluation of a Mobile AI-powered Decision Support System for Insulin Dosing and Glucose Prediction in Type 1 Diabetes: The glUCModel Clinical Trial Protocol

Recruiting · NCT07304778 · Interventional (participants receive a specific treatment) · Lead sponsor: Universidad Complutense de Madrid

View the official record on ClinicalTrials.gov →
Type 2 diabetes

Interventions studied

glUCModel app

What this trial is about

The goal of this clinical trial is to evaluate the safety and efficacy of integrating predictive models into insulin therapy management via the user-centered glUCModel mobile app in People with Type 1 Diabetes Mellitus following Multiple Insulin Dosing therapy. Participants will be aged 18 to 65 years. The main questions it aims to answer are: Does using the app improve glycaemic control, as measured by time in range? Does using the app reduce the number of episodes of hyperglycaemia and hypoglycaemia? Are the app's design and functionality adequate? The study will comprise four phases:ses}): * Screening phase: Informed consent, collection of sociodemographic and clinical data, and baseline Pittsburg, IFIS, and DTSQ questionnaires. * Run-in phase: 2 weeks of standard care with CGM. Data will be used to generate personalized predictive models in the intervention group. * Active treatment phase: Participants continue MDI therapy. The intervention group will additionally use the glUCModel mobile app. CGM data from the final 2 weeks will be analyzed. * Evaluation and analysis phase: Participants will complete the uMARS, Pittsburgh, and DTSQ questionnaires. Statistical analysis and correlations among outcomes will be processed.

Who can take part

Age range
18 Years to 65 Years
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not applicable (e.g. observational or device study)
Study type
Interventional (participants receive a specific treatment)

Inclusion criteria

Exclusion criteria

Where it is running

2 locations listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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