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The optimal method to predict HbA1c from flash glucose monitor data

The optimal method to predict HbA1c from flash glucose monitor data - Predicting HbA1c from flash glucose monitor data

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000044087
Enrollment
80
Registered
2021-05-01
Start date
2021-05-01
Completion date
Unknown
Last updated
2026-06-29

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

Conditions

type 2 diabetes

Interventions

None listed

Sponsors

Inuyama Chuo General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients with type 2 diabetes who were not intervened on visiting hospital

Exclusion criteria

Exclusion criteria: Cases where patients cannot were FGM over 14 days judged to be unsuitable for participation for medical reasons

Design outcomes

Primary

MeasureTime frame
The extracted duration for which mean glucose levels most strongly correlate to HbA1c

Countries

Japan

Contacts

Public ContactSoichi Takeishi

Inuyama Chuo General Hospital Diabetes

souichi19811225@yahoo.co.jp0568-62-8111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026