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AI-based Novel Diabetes Classification and Prognostic Prediction in Korean cohort studies: a gateway to precision medicine in diabetes

AI-based Novel Diabetes Classification and Prognostic Prediction in Korean cohort studies: a gateway to precision medicine in diabetes

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0011203
Enrollment
211569
Registered
2025-11-24
Start date
2023-03-28
Completion date
Unknown
Last updated
2025-12-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Korea University Ansan Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Out of a total of 211,569 subjects under follow-up of the KoGES cohort 1) No history of diabetes in the underlying survey 2) A history of diabetes is identified in the follow-up examination (or), fasting blood glucose is 126 or higher in the follow-up examination (or), or glycated hemoglobin is 6.5% or higher

Exclusion criteria

Exclusion criteria: ND

Design outcomes

Primary

MeasureTime frame
New diabetes subtype classification—

Secondary

MeasureTime frame
Diabetes-related outcomes—

Countries

Korea, Republic of

Contacts

Public ContactSeungA Park

Korea University Ansan Hospital

redanne@hotmail.com+82-31-8099-3167

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026