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Construction of hypoglycemia risk prediction model for elderly patients with type 2 diabetes based on data mining technology

Construction of hypoglycemia risk prediction model for elderly patients with type 2 diabetes based on data mining technology

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200062277
Enrollment
Unknown
Registered
2022-07-31
Start date
2022-08-08
Completion date
Unknown
Last updated
2023-04-03

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

Conditions

Diabetes

Interventions

case series:Nil

Sponsors

Beijing University of Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Aged >=60 years; 2. Meet the diagnostic criteria of diabetes issued by the American Diabetes Association and be diagnosed with type 2 diabetes; 3. Clear consciousness and no mental retardation.

Exclusion criteria

Exclusion criteria: 1. A history of mental illness or congenital mental retardation; 2. Aphasia, deafness, blindness, or other physical diseases that prevent normal communication; 3. Complicated with serious diseases, such as malignant tumors; 4. Received hemodialysis, peritoneal dialysis and other treatments within one month.

Design outcomes

Secondary

MeasureTime frame
Depression scale;Simple intelligent mental state scale;Diabetes knowledge scale;

Countries

China

Contacts

Public ContactZhang Ruiting

Beijing University of Chinese Medicine

17812003597@163.com+86 17812003597

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 5, 2026