LLM-CoManage: Large Language Model-Enabled Co-Management of Hypertension, Diabetes, and Dyslipidemia (LLM-CoManage)

May 9, 2026 updated by: Yingxian Sun, First Hospital of China Medical University

A Cluster-Randomized Trial of Large Language Model-Enabled Coordinated Management for Hypertension, Diabetes, and Dyslipidemia in Community Settings (LLM-CoManage Trial)

This study aims to evaluate the effectiveness of a large language model (LLM)-supported, community-based integrated management model in improving cardiometabolic multimorbidity control among adults with hypertension and coexisting diabetes or dyslipidemia. Adopting an interventional study design, eligible patients will be recruited to compare the disease control indicators between LLM-assisted management and conventional management, so as to verify the effectiveness and safety of the former.

Study Overview

Status

Not yet recruiting

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

6800

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Liaoning
      • Shenyang, Liaoning, China, 110001
        • The First Hospital of China Medical University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

Participating communities must meet all of the following criteria:

  • Have a designated community physician responsible for primary care who is capable of using a smartphone with stable internet access for clinical communication and LLM-assisted management;
  • No plan for administrative merger or restructuring within the next three years;
  • Located at least 2 kilometers away from adjacent participating communities (to minimize contamination between clusters).

Eligible participants must fulfill all of the following conditions:

  • Aged 40 years or older;
  • Uncontrolled hypertension, defined as systolic blood pressure (SBP) ≥140 mmHg or diastolic blood pressure (DBP) ≥ 90 mmHg;
  • Coexisting diabetes (HbA1c ≥ 7.0%) or coexisting dyslipidemia (LDL-C ≥ 3.4 mmol/L[130 mg/dL]);
  • Able to use a smartphone independently or with assistance from family members;
  • Has resided in the participating community for at least 6 months;
  • Has no plan to relocate in the next 3 years;
  • Enrolled in basic medical insurance for urban and rural residents, employee medical insurance, or the New Rural Cooperative Medical Scheme;
  • Not currently pregnant or planning pregnancy during the study period;
  • Free from malignant tumors and deemed to have a life expectancy of at least 3 years, as judged by study physicians;
  • Willing and able to provide written informed consent.

Exclusion Criteria:No specific exclusion criteria.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: LLM-Enabled Intervention Group
LLM-enabled community physicians delivered integrated, guideline-based management

The intervention is a LLM-enabled, community-based integrated management strategy for cardiometabolic multimorbidity. The LLM system functions as the central intelligence layer, integrating multi-condition clinical information, delivering real-time decision support, coordinating care workflows, and facilitating continuous patient engagement. Within this LLM-enabled framework, community physicians-after standardized training-serve as the core executors of care, delivering guideline-based pharmacologic treatment, lifestyle counseling, and structured monitoring of coexisting cardiometabolic conditions. Policy-aligned performance incentives are used to support physician engagement and implementation fidelity, without altering medication access or underlying clinical protocols.

The LLM-enabled intervention is implemented through the HyperMind system, an integrated platform that simultaneously supports clinicians, patients, and health-system oversight.

No Intervention: Usual Care Control Group
Community physicians provided routine care according to local primary health service standards

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The between-group difference in the proportion of participants achieving simultaneous control of hypertension and either diabetes or dyslipidemia.
Time Frame: 6 months after baseline
Simultaneous control is defined as BP < 130/80 mmHg and at least one of the following: HbA1c < 7.0% or LDL-C < 2.6 mmol/L (100 mg/dL), with a stricter threshold of < 1.8 mmol/L (70 mg/dL) for participants with cardiovascular disease(CVD).
6 months after baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Mean systolic blood pressure changes.
Time Frame: 6 months after baseline
Mean systolic blood pressure changes of participants.
6 months after baseline
Mean diastolic blood pressure changes.
Time Frame: 6 months after baseline.
Mean diastolic blood pressure changes of participants.
6 months after baseline.
Mean HbA1c changes.
Time Frame: 6 months after baseline.
Mean HbA1c changes of participants.
6 months after baseline.
Mean LDL-C changes.
Time Frame: 6 months after baseline.
Mean LDL-C changes of participants.
6 months after baseline.
Proportion of participants achieving simultaneous control of BP, HbA1c, and LDL-C.
Time Frame: 6 months after baseline
The proportion of participants achieving simultaneous control of blood pressure, HbA1c, and LDL-C.
6 months after baseline
Awareness and treatment rates for hypertension, diabetes, and dyslipidemia.
Time Frame: 6 months after baseline
Rates of disease awareness and treatment for hypertension, diabetes, and dyslipidemia.
6 months after baseline
Proportion of participants receiving integrated, guideline-based management of all indicated conditions.
Time Frame: 6 months after baseline
The proportion of participants receiving integrated, guideline-based management for indicated conditions.
6 months after baseline
Mean health expenditures and within-trial cost-utility.
Time Frame: 6 months after baseline
Mean health care expenditures and within-trial cost-utility outcomes.
6 months after baseline
Net changes in estimated 10-year risk for atherosclerotic CVD.
Time Frame: 6 months after baseline
Net change in estimated 10-year atherosclerotic cardiovascular disease risk.
6 months after baseline
Changes in treatment adherence.
Time Frame: 6 months after baseline
Change in treatment adherence among participants.
6 months after baseline
Improvements in behavioral risk factors (e.g., diet, physical activity, tobacco use, lifestyle intervention uptake).
Time Frame: 6 months after baseline
Changes in behavioral risk factors including diet, physical activity, and tobacco use.
6 months after baseline
Patient-reported outcomes related to satisfaction.
Time Frame: 6 months after baseline
Patient-reported satisfaction with LLM will be assessed using a structured scale.
6 months after baseline
Patient-reported outcomes related to self-management.
Time Frame: 6 months after baseline.
Patient-reported self-management will be assessed using a structured scale.
6 months after baseline.
Patient-reported outcomes related to quality of life.
Time Frame: 6 months after baseline.
Patient-reported quality of life will be assessed using a structured scale.
6 months after baseline.
Adoption and utilization of the LLM system by physicians and patients.
Time Frame: 6 months after baseline
The extent of physician and patient adoption and use of the LLM-based system.
6 months after baseline
Patterns of AI-assisted recommendations and digital interactions.
Time Frame: 6 months after baseline
The patterns of Artificial Intelligence(AI)-assisted recommendations and related digital interactions generated during the study.
6 months after baseline
Proportion of participants achieving control of individual risk factors: BP < 130/80 mmHg (or < 140/90 mmHg); HbA1c < 7.0%; and LDL-C < 2.6 mmol/L (100 mg/dL) or < 1.8 mmol/L (70 mg/dL) for those with CVD.
Time Frame: 6 months after baseline
The proportion of participants achieving target control of each individual risk factor, including blood pressure, HbA1c, and LDL-C.
6 months after baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Yingxian Sun, MD, PhD, First Hospital of China Medical University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

June 15, 2026

Primary Completion (Estimated)

June 30, 2027

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

December 25, 2025

First Submitted That Met QC Criteria

January 10, 2026

First Posted (Actual)

January 20, 2026

Study Record Updates

Last Update Posted (Actual)

May 13, 2026

Last Update Submitted That Met QC Criteria

May 9, 2026

Last Verified

May 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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