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Actively Recruiting

Phase Not Applicable
Age: 55Years +
All Genders
Healthy Volunteers
ID06112418

Study Comparing Cleerly CAD Stage-Based Care to Risk Factor-Based Care for Preventing Cardiovascular Events in Adults at Risk

Led by Cleerly, Inc. · Updated on 2026-07-10

7500

Participants Needed

125

Research Sites

N/A

Total Duration

AI-Summary

What this Trial Is About

Researchers are evaluating a new care strategy for people at increased risk of atherosclerotic cardiovascular disease ASCVD but without symptoms. The study compares a Cleerly Coronary Artery Disease CAD Staging System-based care approach against the usual risk factor-based care to see if it better reduces cardiovascular events. This pragmatic, randomized trial addresses the need for improved methods to identify and personalize treatment for asymptomatic individuals at risk due to age, diabetes, prediabetes, or metabolic syndrome. Participants are randomly assigned to one of two groups. The risk factor-based care group receives usual care managed by their providers, while a cardiology team monitors and supports guideline-based treatment without revealing certain imaging results during the study. The Cleerly stage-based care group gets personalized management from a remote cardiologist-led team using the Cleerly CAD Staging System, which includes imaging to assess coronary atherosclerosis and guides pharmacotherapy and education. Treatment intensity may increase if plaque worsens after 24 months. During the study, participants will have assessments to monitor heart health and treatment adherence over an average of 3.5 years. Researchers will measure cardiovascular events and other related health outcomes to compare the two care strategies. The study involves ongoing medication monitoring, lab tests, and feedback to optimize prevention, with the goal of improving personalized care for cardiovascular risk management.

CONDITIONS

Brief Title

A Randomized Comparison of Stage-Based Care Versus Risk Factor-Based Care for Prevention of Cardiovascular Events

Research Team

R

Ryann Sardinia

A

Ashley Dunham, PhD

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