Mapping Diabetes in Quebec: Validating Medico-administrative Algorithms for Type 1 Diabetes, Type 2 Diabetes and LADA
NCT06573905 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 17271
Last updated 2025-01-01
Summary
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.
Conditions
- Diabetes Mellitus, Type 1
- Diabete Type 2
- Diabetes;Adult Onset
- Diabetes, Autoimmune
Interventions
- OTHER
-
no intervention
no intervention. this is observational study.
Sponsors & Collaborators
- collaborator OTHER
-
Centre de Recherche du Centre Hospitalier de l'Université de Montréal
collaborator OTHER -
University Hospital, Angers
collaborator OTHER_GOV -
Universite du Quebec en Outaouais
lead OTHER
Principal Investigators
-
philippe C corsenac, Ph.D · UQO
Eligibility
- Min Age
- 1 Year
- Max Age
- 40 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-01-01
- Primary Completion
- 2025-06-30
- Completion
- 2025-06-30
Countries
- Canada
Study Locations
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