Clinical Trials Directory

Trials / Unknown

UnknownNCT05824286

HbA1c Prediction Model in Patients With Type 2 Diabetes

Efficacy and Safety of HbA1c Prediction Model Based on Self-monitoring Blood Glucose in Patients With Type 2 Diabetes

Status
Unknown
Phase
N/A
Study type
Interventional
Enrollment
150 (estimated)
Sponsor
Peking University People's Hospital · Academic / Other
Sex
All
Age
Healthy volunteers
Not accepted

Summary

Patients with type 2 diabetes who have poor blood glucose control are enrolled to evaluate the efficacy and safety of the HbA1c prediction model for adjust the hypoglycemic treatment regimen, compared with the conventional treatment using self-monitoring blood glucose or glycated albumin.

Conditions

Interventions

TypeNameDescription
OTHERHbA1c predictionHbA1c prediction model was developed based on fasting capillary blood glucose and postprandial capillary blood glucose from self-monitoring blood glucose. Since HbA1c was measured once every 3 month, self-monitoring blood glucose records were transferred to predicted HbA1c by prediction model every month.

Timeline

Start date
2023-01-04
Primary completion
2024-12-30
Completion
2024-12-30
First posted
2023-04-21
Last updated
2023-04-21

Locations

1 site across 1 country: China

Source: ClinicalTrials.gov record NCT05824286. Inclusion in this directory is not an endorsement.