Mapping Diabetes in Quebec: Validating Medico-administrative Algorithms for Type 1 Diabetes, Type 2 Diabetes and LADA
Opening soon NCT06573905
Run by Universite du Quebec en Outaouais · for 1 to 40 · All sexes
What this study is about
The goal of this observational study is to validate medico-administrative algorithms that classify diabetes phenotypes (Type 1, Type 2, and Latent Autoimmune Diabetes in Adults - LADA) in a population-based cohort in Quebec, including children, adolescents, and young adults up to 40 years old with diagnosed diabetes. The main questions it aims to answer are: Can these algorithms accurately distinguish between Type 1, Type 2, and LADA across different age groups? What is the prevalence and incidence of each diabetes phenotype in Quebec? Participants will have their medical and administrative data analyzed, including data on medication usage and healthcare visits, to validate the accuracy of the algorithms. The study will involve comparing these algorithm-based classifications with clinical diagnoses or self-reported data to ensure reliability.
Who can join (things the study team will check)
✅ You may be able to join if…
- Individuals diagnosed with Type 1, Type 2, or Latent Autoimmune Diabetes in Adults (LADA) based on clinical or self-reported data.
- Participants diagnosed between 1997 and 2024.
- Residents of Quebec with available medico-administrative records from 1997 to 2024.
🚫 You may not be able to join if…
- Non-residents of Quebec during the study period.
Where this trial is running
- Philippe Corsenac, Montreal, Quebec, Canada
Who to contact
philippe C corsenac, Ph.D · (+1)4384934299 · philippe.corsenac@uqo.ca
It's completely normal to call and ask questions before deciding anything. Mention the study ID: NCT06573905.
Verify everything on the official ClinicalTrials.gov record. Page updated July 2026.