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Prediction for glycemic variability in patients treated with IDegLira

Prediction for glycemic variability in patients treated with IDegLira - Prediction for glycemic variability in IDegLira

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000039436
Enrollment
80
Registered
2020-02-08
Start date
2020-02-10
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: 50 outpatients with type 2 diabetes treated with insulin for 3 month or longer

Exclusion criteria

Exclusion criteria: judged to be unsuitable for participation for medical reasons

Design outcomes

Primary

MeasureTime frame
A time and a cutoff value which can the most exactly predict TIR (70 to 180 mg/dL) more than 70 percent in all 50 patients

Secondary

MeasureTime frame
Times which the most correlate to CV or TBR(less than 70 mg/dL) in all 50 patients Times and cutoff values which can the most exactly predict CV less than 36 percent or TBR(less than 70 mg/d)less than 4 percent in all 50 patients Times during daytime where differences between two glucose levels the most correlate to CV or TBR(less than 70 mg/dL)in all 50 patients Times during daytime where differences between two glucose levels can the most exactly predict CV less than 36 percent or TBR(less than 70 mg/dL) less than 4 percent in all 50 patients and those cutoff values

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