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HbA1c Prediction Model in Patients With Type 2 Diabetes

NCT05824286 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 150

Last updated 2023-04-21

No results posted yet for this study

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

  • Diabetes Mellitus, Type 2

Interventions

OTHER

HbA1c prediction

HbA1c 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.

Sponsors & Collaborators

  • Peking University People's Hospital

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-01-04
Primary Completion
2024-12-30
Completion
2024-12-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05824286 on ClinicalTrials.gov