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RecruitingNCT07599072PRE-GLIDEUpdated Jun 30, 2026

PREdiabetes GLycemic Impact and Data Evaluation

An interventional study of CGM Sibionics and On-Call Extra Glucometer in Pre Diabetic, Obesity & Overweight and Insulin Resistance, sponsored by Nazarii Kobyliak. Recruiting at 3 sites in Ukraine. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-06-30.

Sponsored by Nazarii Kobyliak · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
80
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

This prospective, randomized controlled trial evaluates whether real-time continuous glucose monitoring (CGM) improves glycemic control and lifestyle adherence in adults with prediabetes compared to conventional self-monitoring methods over a 3-month period. By analyzing metabolic markers and behavioral data, the study aims to determine the effectiveness of 24-hour monitoring as a personalized tool that increases patient adherence to lifestyle changes compared to conventional SMBG methods.

Read the detailed description

Prediabetes is considered a critical stage at which effective prevention of the development of diabetes is possible, provided that early detection and adequate glycemic control. International clinical guidelines and multicenter studies suggest that early intensive glycemic control is associated with a better prognosis and a reduced risk of complications. However, standard self-monitoring has limited information on glycemic variability, which is especially important in the early stages of carbohydrate metabolism disorders, including prediabetes. Routine indicators such as fasting blood glucose, 1 and 2 hours after a meal, and glycated hemoglobin (HbA1c) do not always clearly differentiate between diabetes, prediabetes, and normal carbohydrate metabolism. Recently, there has been a need for more comprehensive blood glucose monitoring strategies that cover the entire spectrum of glycemic variability. Continuous glucose monitoring (CGMs) technology provides real-time glucose concentration data, overcoming the limitations of traditional monitoring methods. Recently, not only among people with diabetes, but also among people with prediabetes, there has been an increasing trend towards using CGM as a personal device to monitor glucose levels and promote healthy habits such as increased activity, diet, and sleep. Their motivation is to improve their own glycemic control and avoid the future development of diabetes and its associated complications, to optimize blood glucose levels to achieve peak mental or physical performance, and to use personal monitoring data to develop sustainable behavioral skills. The contactless 24-hour monitoring system is considered a promising tool for personalized glycemic control, but its use in people with prediabetes has not been studied enough This is a prospective, open-label, randomized controlled trial involving 80 adult patients with prediabetes recruited at the Bogomolets National Medical University. Participants were randomized in a 1:1 ratio to either the Real-Time Continuous Glucose Monitoring (CGM group) or the control group (standard Self-Monitoring of Blood Glucose [SMBG] using conventional glucometers). Participants will undergo a 3-month observation period. The use of the assigned monitoring devices (CGM or SMBG glucometer) and pedometers will last for the first 1 month. The study consists of three visits: Visit 1 (baseline), Visit 2 (1 month, end of intervention), and Visit 3 (3 months, follow-up period). During these visits, researchers will collect data on glycated hemoglobin (HbA1c), fructosamine, Cpeptide, HOMA-IR index, lipid profile, anthropometric indicators (body mass index (BMI), waist circumference), bioimpedance measurement, physical activity monitoring using pedometers, and SF-36 questionnaire to assess quality of life.

The gathered data will help determine whether continuous monitoring provided by CGM systems improves glycemic control and increases patient adherence to lifestyle changes compared to conventional SMBG methods.

02

Conditions studied

  • Pre Diabetic
  • Obesity & Overweight
  • Insulin Resistance

Keywords

  • prediabetes
  • obesity
  • continuous glucose monitoring
  • insulin resistance
  • traditional glycemia self-monitoring
03

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Age of 18 years and older.
  • Presence of prediabetes diagnosed according to criteria of the American Diabetes Association
  • Persons who treated with diet and exercise alone or metformin on a stabilized dose for at least 3 months before the study;
  • Ability to comply with protocol requirements and maintain a patient diary.
  • Signed informed consent.

Exclusion criteria

Exclusion Criteria:

  • Presence of type 1 or type 2 diabetes;
  • Decompensated liver or kidney diseases (GFR \< 45 ml/min/1. 73 m²);
  • Active cardiovascular diseases within 12 months of Visit 1, such as myocardial infarction, clinically significant arrhythmia, unstable angina, coronary artery bypass surgery, or angioplasty; or are expected to require coronary artery bypass surgery or angioplasty during the course of the study;
  • Endocrine disorders (e.g., Itsenko-Cushing syndrome, acromegaly) that affect glycemia;
  • Pregnancy or lactation;
  • Mental or cognitive impairments that would interfere with study participation;
  • Daily use of any form of steroid medication (oral, inhaled, injected) within the last 3 months;
  • Recent use of any CGM within the last 12 months;
  • Known allergy to sensor materials;
  • Has evidence of current abuse of drugs or alcohol or a history of abuse that, in the investigator's opinion, would cause the individual to be noncompliant;
  • Participation in another clinical study within the last 3 months.
04

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
80 participants (estimated)

Study arms

  • Experimental
    CGM group

    Participants with prediabetes will be provided with a Real-Time Continuous Glucose Monitoring (RT-CGM) device to monitor their blood glucose along with educational materials to better understand and manage their prediabetes and other supporting services. Pre and post intervention surveys and investigation will be implemented. Participants will be utilizing RT-CGM device for 28 days and then followed up for 3-month participation.

    Device: CGM Sibionics

  • Active comparator
    traditional fingerstick glucometer

    Participants with prediabetes will be provided with traditional fingerstick glucometer device to self-monitor their blood glucose along with educational materials to better understand and manage their prediabetes and other supporting services. Pre and post intervention surveys and investigation will be implemented. Participants will be utilizing glucometer with at least 2-3 measurements per week for 28 days and then followed up for 3-month participation.

    Device: On-Call Extra Glucometer

Interventions

  • DeviceCGM Sibionics

    A registered medical device for real-time monitoring of glucose levels in interstitial fluid.

  • DeviceOn-Call Extra Glucometer

    Capillary glucose monitoring using fingerstick glucometer as per standard care.

05

What researchers measure

Primary outcomes

  1. Changes in HbA1c level

    HbA1c in %

    Time frame: at 3 month (end of follow-up period)

  2. Changes in Fructosamine level

    Fructosamine in μmol/L

    Time frame: at 3 month (end of intervention period)

Secondary outcomes

  1. Homeostatic Model Assessment of Insulin Resistance (HOMA2-IR)

    HOMA2-IR will be calculated based on fasting plasma glucose and fasting serum insulin levels using the non-linear Homeostasis Model Assessment. The score is continuous, theoretically starting from 0, where higher values indicate greater insulin resistance (a worse clinical outcome).

    Time frame: at 3 month (follow-up period) compared to baseline

  2. insulin sensitivity (%S)

    This model can be calculated using the software supplied by the Oxford Centre for Diabetes Endocrinology and Metabolism

    Time frame: at 3 month (follow-up period) compared to baseline

  3. β-cell function (%B)

    This model can be calculated using the software supplied by the Oxford Centre for Diabetes Endocrinology and Metabolism

    Time frame: at 3 month (follow-up period) compared to baseline

  4. body mass index (BMI)

    weight in kg and height in meters will be combined to report BMI in kg/m\^2

    Time frame: at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline

  5. waist circumferences (WC)

    WC in cm

    Time frame: at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline

  6. visceral fat content

    visceral fat content using electronic scales-analyzers of body composition Huawei (Smart Scale series 3/3 Pro

    Time frame: at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline

  7. Total Cholesterol (TC)

    TC in mmol/l

    Time frame: at 3 month (follow-up period) compared to baseline

  8. Tryglicerides (TG)

    TG in mmol/l

    Time frame: at 3 month (follow-up period) compared to baseline

  9. LDL-Cholesterol (LDL-C)

    LDL-C in mmol/l

    Time frame: at 3 month (follow-up period) compared to baseline]

  10. Physical activity levels

    Daily number of steps as measured by a sealed pedometer

    Time frame: at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline

  11. Quality of Life Evaluation: Medical Outcomes Study Short-Form 36 (SF-36)

    Health-related quality of life will be evaluated using the Medical Outcomes Study Short-Form 36 (SF-36) questionnaire. The SF-36 consists of 36 items measuring 8 health domains, which are aggregated into two summary scores: the Physical Component Summary (PCS) and the Mental Component Summary (MCS). For each domain and summary score, values are transformed to a scale ranging from a minimum of 0 to a maximum of 100. Higher scores represent better health status and a better quality of life outcome.

    Time frame: at 1 month (end of intervention) and 3 month (follow-up period) compared to baseline

06

Study locations

3 of 3 sites recruiting
  • Bogomoletz Institute of Physiology
    Kyiv, 01024, Ukraine
    Enrolling by invitation
  • Bogomolets National Medical University
    Kyiv, 01601, Ukraine
    Recruiting
  • University Hospital of Bogomolets National Medical University
    Kyiv, 01601, Ukraine
    Recruiting
07

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT07599072
Lead sponsor
Nazarii Kobyliak
Collaborators
COR-Medical LLC, Iridium LLC
Responsible party
Nazarii Kobyliak (Vice Rector for Research and Innovation, Bogomolets National Medical University) — Sponsor-investigator
First posted
May 20, 2026
Start date
Jul 1, 2026 (estimated)
Primary completion
May 31, 2027 (estimated)
Completion
Jun 30, 2027 (estimated)
Last update
Jun 30, 2026

Study contacts

Nazarii Kobyliak, Professor
Contact
nazariikobyliak@gmail.com
+380442356005
Ilona Rudneva, Dr
Contact
ilonarudneva57@gmail.com
0442356005
Nazarii Kobyliak
principal investigator · Bogomolets National Medical University

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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