Looking for different subgroups among adults with type 1 diabetes using health data
Uses existing health records to look for subgroups in adults with type 1 diabetes.
Plain-language title generated from the registry record
Registry title: Characterization of Type 1 Diabetes Subgroup: An Artificial Intelligence Analysis of Clinical and Glucometric Features
Key facts
- Where
- Barcelona, SpainSee the site
Where in Spain
- Hospital de la Santa Creu i Sant Pau, Barcelona, Barcelona 08041Barcelona, SpainTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
- Trial code
- NCT07461805
- Record updated
- 10 March 2026
- Original description
The goal of this observational study is to characterize different subgroups among patients with type 1 diabetes. The main research question is:Read full original descriptionShow less
Caracterización de Subgrupos de Personas Con Diabetes Tipo 1: análisis de características clínicas y glucométricas Utilizando Una aproximación de Inteligencia Artificial
The goal of this observational study is to characterize different subgroups among patients with type 1 diabetes. The main research question is:
Are there distinct subtypes among people with type 1 diabetes?
Participants will be invited to take part in the study by allowing access to their health data. They will not be required to undergo any additional examinations, tests, visits, or interventions.
Inclusion: Individuals with type 1 diabetes (T1D) aged 18 years or older; T1D individuals expected to have regular follow-up at the Endocrinology and Nutrition Department of Hospital de la Santa Creu i Sant Pau; Users of continuous glucose monitoring (CGM) systems for at least the last 6 months of 2024; Willingness and ability to provide written informed consent to participate in the study (by the patient or his/her representative).
Exclusion: Presence of severe comorbidities or medical conditions that, in the investigator's judgment, could interfere with participation in the study or the interpretation of results. This circumstance is expected to be exceptional, as the study aims to be as inclusive as possible.