Prediction of the risk of developing cognitive dysfunction in diabetic patients based on machine learning model

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2400085417

Enrollment

Unknown

Registered

2024-06-06

Start date

2024-05-20

Completion date

Unknown

Last updated

2024-07-08

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

Conditions

Diabetic cognitive impairment

Interventions

T2DM-CI group:No

T2DM-NCI group:No

Eligibility

Sex/Gender

All

Age

45 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. met the diagnosis of T2DM according to the Guidelines for the Prevention and Control of Type 2 Diabetes Mellitus in China; 2. aged >= 50 years; 3. education level>= 6 years; 4. having good visual and hearing function to undergo neuropsychological testing.

Exclusion criteria

Exclusion criteria: 1. individuals with type 1 Diabetes Mellitus; 2. have definite mental and neurological disorders (e.g. schizophrenia, major depression, alcoholism, cerebral hemorrhage, massive cerebral infarction, brain tumor, epilepsy, Parkinson's disease, metabolic or toxic encephalopathy, etc.).

Design outcomes

Primary

Measure	Time frame
MoCA;Permeability of blood-brain barrier;Glymphatic system;	—

Secondary

Measure	Time frame
fasting blood sugar;	—

Countries

China

Contacts

Public ContactZhenyu Tang

The Second Affiliated Hospital of Nanchang University

tangzyjr@163.com+86 134 7912 9978

Outcome results

None listed

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