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Study on hyperglycemia risk prediction with non-invasive data collected by wearable devices

Study on hyperglycemia risk prediction with non-invasive data collected by wearable devices

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100045126
Enrollment
Unknown
Registered
2021-04-07
Start date
2021-04-15
Completion date
Unknown
Last updated
2021-11-08

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

Conditions

Diabetes

Interventions

case series:Patients will wear wearable devices and continuous glucose monitoring system at the same time.

Sponsors

Peking Union Medical College Hospital, Chinese Academy of Medical Sciences
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients with type 2 diabetes or prediabetes or normal glucose tolerance treated in the Endocrinology Department of Peking Union Medical College Hospital; 2. Aged >= 18 years; 3. The patient signs an informed consent form and has a smartphone.

Exclusion criteria

Exclusion criteria: 1. Patients with hemophilia or other severe coagulation disorders; 2. Patients with severe skin diseases; 3. Patients with mental illness; 4. Patients who are unable to cooperate with the study; 5. Patients with any other condition that doctors consider not suitable to participate in the study.

Design outcomes

Primary

MeasureTime frame
Total coincidence rate;

Secondary

MeasureTime frame
Single coincidence rate;

Countries

China

Contacts

Public ContactLI Wei

Peking Union Medical College Hospital, Chinese Academy of Medical Sciences

liw@pumch.cn+86 13651344883

Outcome results

None listed

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