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The Glaucoma and Retinopathy Screening Study

NCT06882356 · Massachusetts Eye and Ear Infirmary
In plain English

Click the button to translate this study into plain language — what it is, who qualifies, and what participation looks like.

Official title
The Glaucoma and Retinopathy Screening Study (GRaSS)
About this study
Study Overview: This study is a prospective, interventional clinical trial designed to evaluate the effectiveness of an artificial intelligence (AI)-based screening program within community health settings. This study targets especially diabetic patients because they have higher risks of developing glaucoma. By integrating glaucoma screening into existing diabetic eye disease (DED) screenings, the study aims to identify cases of glaucoma earlier, thereby preventing or delaying progression to blindness. Background: Glaucoma is a chronic eye disease that causes progressive optic nerve damage, often leading to irreversible vision loss. Early detection is critical, as glaucoma is typically asymptomatic in its early stages. Individuals with diabetes are at an elevated risk for glaucoma, making it crucial to develop accessible screening methods. Current DED screening programs already utilize fundus photography for diabetic retinopathy. Adding glaucoma screening to these existing DED screenings may provide an efficient and cost-effective solution to reach high-risk populations without requiring additional clinic visits. Study Hypothesis: The hypothesis of this study is that incorporating AI-driven glaucoma screening into standard DED screenings will increase the detection rate of glaucoma in high-risk populations compared to DED screening alone. This combined approach is expected to yield better clinical outcomes by enabling early diagnosis and treatment while being cost-effective. Expected Outcomes and Impact: This study is expected to provide valuable insights into the effectiveness of integrating AI-based glaucoma screening into existing screening programs for diabetic eye disease. If successful, this combined screening approach could be a cost-effective model for other community health settings, leading to earlier detection of glaucoma and improved patient outcomes. By making glaucoma screening more accessible the study aims to reduce health disparities and support preventive eye care.
Eligibility criteria
* Individuals with diabetes undergoing AI-based screening for diabetic retinopathy using the LumineticsCore (Digital Diagnostics) system for clinical care at primary care centers. * Individuals who are able and willing to provide informed consent for participation in the study.
Study design
Enrollment target: 2000 participants
Allocation: non_randomized
Masking: none
Age groups: adult, older_adult
Timeline
Starts: 2025-07-16
Estimated completion: 2030-09
Last updated: 2025-08-28
Interventions
Device: AI-based glaucoma screeningDevice: IOP measurementDevice: Virtual Reality Visual Field Testing
Primary outcomes
  • Glaucoma detection (1 year from initial screening)
Sponsor
Massachusetts Eye and Ear Infirmary · other
With: Centers for Disease Control and Prevention
Contacts & investigators
ContactDavid S Friedman, MD, PhD, MPH · contact · grass@mgb.org · 617-573-3094
InvestigatorDavid S Friedman, MD, PhD, MPH · principal_investigator, Massachusetts Eye and Ear
All locations (5)
Brigham and Women's Primary Care Associates of LongwoodRecruiting
Boston, Massachusetts, United States
MGH Chelsea HealthCare CenterRecruiting
Chelsea, Massachusetts, United States
NSPG LynnRecruiting
Lynn, Massachusetts, United States
NSPG SalemNot Yet Recruiting
Salem, Massachusetts, United States
NSPG SaugusRecruiting
Saugus, Massachusetts, United States
The Glaucoma and Retinopathy Screening Study · TrialPath