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Periodic Use of Continuous Glucose Monitoring With Personalized Diet Interventions Using AI Camera Among Non-insulin Treated Type 2 Diabetes

Periodic Use of Continuous Glucose Monitoring With Personalized Diet Interventions Using AI Camera Among Non-insulin Treated Type 2 Diabetes

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06594055
Enrollment
120
Registered
2024-09-19
Start date
2023-04-04
Completion date
2024-10-31
Last updated
2025-03-07

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

Conditions

Type 2 Diabetes

Keywords

type 2 diabetes, non-insulin, continuous glucose monitoring, AI camera, periodic use

Brief summary

The aim of this study is to evaluate the periodic use of continuous glucose monitoring (CGM) with an AI camera and following diet education among non-insulin-treated type 2 diabetes patients.

Detailed description

The control group used self-monitoring blood glucose (SMBG) for two weeks with a manual food diary followed by diet education and repeated SMBG with a food diary three months later. Treatment 1 group used CGM (Freestyle Libre) for two weeks with an AI food camera followed by diet education, and repeated CGM for two weeks with an AI food camera three months later. Treatment 2 group used CGM for two weeks with an AI food camera followed by diet education without repeat three months later. Every group followed at 6 months for the final outcome. HbA1c at 6 months is the primary outcome.

Interventions

DEVICEContinuous Glucose Monitoring

Continuous glucose monitoring is a wearable device that continuously collects glucose data from interstitial fluid.

DEVICESelf-monitoring blood glucose

The control group used self-monitoring blood glucose (SMBG) for two weeks with a manual food diary, followed by diet education. They then repeated SMBG with a food diary three months later, with a final follow-up at the 6-month mark.

DEVICEAI food camera

The AI food camera automatically detects the contents and nutritional information of foods.

A food diary is a record in which the user manually writes down the consumed foods and their amounts.

Sponsors

Daewoong Pharmaceutical Co. LTD.
CollaboratorINDUSTRY
Kangbuk Samsung Hospital
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
No

Inclusion criteria

1. Type 2 diabetes patients 2. HbA1c 6.5% - 10% 3. No medication changes in the past 3 months, and receiving treatment with lifestyle modification or oral antidiabetic drugs or GLP-1 receptor agonists 4. Ages 18 - 80 years old

Exclusion criteria

1. Insulin users 2. Those who have used steroids within the past 3 months or are expected to use them during the study period (excluding ointments) 3. Type 1 diabetes patients 4. Patients who have undergone pancreatic resection 5. Patients undergoing hemodialysis or peritoneal dialysis 6. Those requiring continuous MRI and CT scans 7. Those deemed by the researcher to have difficulty handling continuous glucose monitors and AI cameras 8. Those deemed unsuitable for participation in this clinical trial by the investigator, other than those mentioned above 9. Pregnant women

Design outcomes

Primary

MeasureTime frame
Change in HbA1c between baseline and the 6-month mark in treatment 1 group compared to control group, and treatment 2 group compared to control group.6 month follow-up

Secondary

MeasureTime frameDescription
Change in HbA1c between baseline and the 3-month mark in treatment 1 group compared to control group, and treatment 2 group compared to control group.3 month follow-up
Change in blood pressure between baseline and the 6-month mark in treatment 1 group compared to control group, and treatment 2 group compared to control group6 month follow-up
Change in lipid parameters between baseline and the 6-month mark in treatment 1 group compared to control group, and treatment 2 group compared to control group6 month follow-up
Change in HbA1c between baseline and the 6-month mark, non-inferiority comparison between treatment group 1 and treatment group 2.6 month follow-up
Change in waist circumference between baseline and the 6-month mark in treatment 1 group compared to control group, and treatment 2 group compared to control group6 month follow-up
Glycemic metrics of blinded CGM once at 6-month mark in treatment 1 group compared to control group, and treatment 2 group compared to control group6 month follow-up
Change in patient satisfaction questionnaires between baseline and the 6-month mark, comparison between groups.6 month follow-upDiabetes management self-efficacy scale (DMSES), appraisal of diabetes scale (ADS), and the summary of diabetes self-care activities measure (SDSCA) were used. DMSES has a 0-10 score scale for each item, with higher scores indicating better outcomes. ADS has a 1-5 score scale where lower scores are better in the psychological impact of diabetes subscale, and higher scores are better in the sense of self-control subscale. SDSCA has a 0-7 score scale for each item, with higher scores indicating better outcomes in the Diet, Exercise, Glucose monitoring, and Foot care subscales, while lower scores are better in the smoking subscale.
Change in body weight between baseline and the 6-month mark in treatment 1 group compared to control group, and treatment 2 group compared to control group6 month follow-up

Countries

South Korea

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026