NCT07129148

Brief Summary

The value of intelligent lifestyle intervention for T2D and its complications has been initially explored, but evidence-based support for the effectiveness of related AI risk prediction models and intervention models remains to be confirmed. The primary objective of this study is to verify the effectiveness of an AI model for predicting the risk of T2D complications based on phenotype, laboratory indicators and wearable device indicators, and to explore the effect and applicability of an intelligent lifestyle intervention model combining wearable devices and smartphones in preventing T2D complications.

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
1,600

participants targeted

Target at P75+ for not_applicable diabetes-mellitus-type-2

Timeline
17mo left

Started Oct 2025

Typical duration for not_applicable diabetes-mellitus-type-2

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress30%
Oct 2025Oct 2027

First Submitted

Initial submission to the registry

August 6, 2025

Completed
13 days until next milestone

First Posted

Study publicly available on registry

August 19, 2025

Completed
1 month until next milestone

Study Start

First participant enrolled

October 1, 2025

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 1, 2026

Expected
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2027

Last Updated

August 19, 2025

Status Verified

August 1, 2025

Enrollment Period

1 year

First QC Date

August 6, 2025

Last Update Submit

August 11, 2025

Conditions

Outcome Measures

Primary Outcomes (1)

  • HbA1c

    Between-group differences in HbA1c change (from Central Lab)

    Baseline, 1 year

Study Arms (4)

Control: Traditional Control

OTHER

Adopt classic doctor-patient interaction management; receive diet and exercise education upon enrollment, self-monitor blood glucose at home and keep a diary.

Other: Device: No specific devices

Experimental: Wearable Devices + Data Management Platform

OTHER

On the basis of classic management, wear CGM , load CGM management software, and monitor health data in real time via mobile software.

Other: Device: CGM,CGM management platform

Experimental:WeChat mini-program Smart Management

OTHER

On the basis of classic management, use the "Professor Tang" WeChat mini-program for blood glucose recording and diet/exercise management.

Other: Device: "Professor Tang" WeChat Mini-program

Experimental:Wearable Devices + WeChat mini-program Management

OTHER

On the basis of classic management, wear CGM or smartbands , and use the "Professor Tang" WeChat mini-program simultaneously for real-time data monitoring and personalized recommendations.

Other: Device: CGM, Smart Bracelet, "Professor Tang" WeChat Mini-program

Interventions

Routine doctor-patient interaction.

Control: Traditional Control

Wearable monitoring + CGM management platform-assisted administration

Experimental: Wearable Devices + Data Management Platform

Mini-program-assisted health management

Experimental:WeChat mini-program Smart Management

Wearable monitoring + mini-program integrated management

Experimental:Wearable Devices + WeChat mini-program Management

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Confirmed diagnosis of Type 2 Diabetes;
  • Aged ≥ 18 years;
  • Able to accept the diabetes management model with AI-assisted management and wearable device monitoring;
  • Able to provide complete lifestyle records, including medical history, medication status, diet, exercise, etc.;
  • Fully understand the purpose, nature, and methods of the study, voluntarily participate in this study, accept a 3-month follow-up, and sign the informed consent form.

You may not qualify if:

  • Having severe mental illness or language barriers;
  • Suffering from malignant tumors;
  • Pregnant or lactating women;
  • Suspected active infections (such as active pulmonary tuberculosis, pneumonia, etc.);
  • Severe hepatic and renal insufficiency (alanine transaminase and/or aspartate transaminase \> 3 times the upper limit of normal; estimated glomerular filtration rate \< 15 mL/min/1.73 m²);
  • A history of definite major adverse cardiovascular events and/or revascularization and/or intravenous thrombolysis and/or endovascular thrombectomy;
  • Uncontrolled hyperthyroidism or hypothyroidism, pituitary-adrenal dysfunction, or other endocrine diseases;
  • Alcoholism or drug addiction;
  • Receiving insulin therapy;
  • Unable to accept new comprehensive intervention technologies for various reasons (such as personal beliefs, economic factors, etc.).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Second Xiangya Hospital of Central South University

Changsha, China

Location

MeSH Terms

Conditions

Diabetes Mellitus, Type 2Diabetes Complications

Interventions

Continuous Glucose Monitoring

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System Diseases

Intervention Hierarchy (Ancestors)

Blood Chemical AnalysisClinical Chemistry TestsClinical Laboratory TechniquesDiagnostic Techniques and ProceduresDiagnosisDiagnostic Techniques, EndocrineMonitoring, PhysiologicInvestigative Techniques

Central Study Contacts

HouDe Zhou, Prof.

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
OTHER
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 6, 2025

First Posted

August 19, 2025

Study Start

October 1, 2025

Primary Completion (Estimated)

October 1, 2026

Study Completion (Estimated)

October 1, 2027

Last Updated

August 19, 2025

Record last verified: 2025-08

Data Sharing

IPD Sharing
Will not share

Locations