- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05463289
ACCESS 2: AI for pediatriC diabetiC Eye examS Study 2 (ACCESS2)
Implementing Digital Retinal Exams Into Comprehensive Pediatric Diabetes Care
Study Overview
Status
Intervention / Treatment
Detailed Description
This study will recruit up to 500 individuals ages 8-21 with type 1 or type 2 diabetes. In this study, participants will undergo a point-of-care diabetic eye exam using autonomous AI software on a non-mydriatic fundus camera. Participants will receive the diabetic eye exam results immediately from the autonomous AI system, and if abnormal will be referred to an eye care provider for a dilated eye exam.
In the AI for ChildrenS Diabetic Eye ExamS Study (ACCESS2), 398 participants will be enrolled to determine if point of care autonomous AI increases the proportion of minority and underserved youth screened for diabetic retinopathy. The autonomous AI interpretation will also be compared to consensus grading of retinal specialists to determine if there is agreement and to determine the diagnostic accuracy of the system in youth.
A cohort of youth with known diabetic retinopathy (true positives) will also be enrolled as an enriched population to determine the diagnostic accuracy of autonomous AI compared to the prognostic standard interpretation of a central reading center.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Risa M Wolf, MD
- Phone Number: 4109556463
- Email: RWolf@jhu.edu
Study Contact Backup
- Name: Alvin Liu, MD
- Email: tliu25@jhmi.edu
Study Locations
-
-
Maryland
-
Baltimore, Maryland, United States, 21287
- Recruiting
- Johns Hopkins Pediatric Diabetes Center
-
Contact:
- Risa M Wolf, MD
- Phone Number: 410-955-6463
- Email: rwolf@jhu.edu
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
Meets American Diabetes Association (ADA) criteria for diabetic retinopathy screening:
- Diagnosis of Type 1 diabetes for ≥3 years, and age 11 or in puberty
- Diagnosis of Type 2 diabetes
Enriched cohort:
- Patients with Type 1 or Type 2 diabetes,
- 8-21 years of age with known diabetic retinopathy (true positives).
- No time limit on last diabetic eye exam.
Exclusion Criteria:
- Known diabetic eye exam in the last 12 months
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Other: Diabetic Retinopathy Exam at the point of care
Participants will undergo a point of care diabetic retinopathy eye exam using autonomous AI.
Those that test positive will be referred to Eye Care Provider for dilated eye exam.
|
Participants will undergo point-of-care diabetic retinopathy screening using autonomous artificial intelligence software to interpret retinal images taken with a non-mydriatic fundus camera and providing an immediate result.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Proportion screened for diabetic retinopathy
Time Frame: Day 1
|
Equivalence in proportion screened for diabetic retinopathy of white and non-white youth with autonomous AI
|
Day 1
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Percentage of agreement in interpretation of retinal images
Time Frame: Day 1
|
Agreement in interpretation of retinal images between autonomous AI and consensus grading by ophthalmologists
|
Day 1
|
|
Sensitivity of autonomous AI vs. prognostic standard
Time Frame: Day 1
|
Sensitivity of autonomous AI in detecting diabetic retinopathy in youth compared to the prognostic standard.
This will be analyzed in the ACCESS2 trial cohort alone, and also in the ACCESS2 trial cohort with the enriched cohort of youth with known diabetic retinopathy.
|
Day 1
|
|
Specificity of autonomous AI vs. prognostic standard
Time Frame: Day 1
|
Specificity of autonomous AI in detecting diabetic retinopathy in youth compared to the prognostic standard.
This will be analyzed in the ACCESS2 trial cohort alone, and also in the ACCESS2 trial cohort with the enriched cohort of youth with known diabetic retinopathy.
|
Day 1
|
|
Proportion with diabetic retinopathy
Time Frame: Day 1
|
Proportion of participants with diabetic retinopathy, including none, mild, moderate or severe DR.
|
Day 1
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Risa M Wolf, MD, Johns Hopkins University
Publications and helpful links
General Publications
- Channa R, Wolf R, Abramoff MD. Autonomous Artificial Intelligence in Diabetic Retinopathy: From Algorithm to Clinical Application. J Diabetes Sci Technol. 2021 May;15(3):695-698. doi: 10.1177/1932296820909900. Epub 2020 Mar 4.
- Thomas CG, Channa R, Prichett L, Liu TYA, Abramoff MD, Wolf RM. Racial/Ethnic Disparities and Barriers to Diabetic Retinopathy Screening in Youths. JAMA Ophthalmol. 2021 Jul 1;139(7):791-795. doi: 10.1001/jamaophthalmol.2021.1551.
- Wolf RM, Channa R, Abramoff MD, Lehmann HP. Cost-effectiveness of Autonomous Point-of-Care Diabetic Retinopathy Screening for Pediatric Patients With Diabetes. JAMA Ophthalmol. 2020 Oct 1;138(10):1063-1069. doi: 10.1001/jamaophthalmol.2020.3190.
- Wolf RM, Liu TYA, Thomas C, Prichett L, Zimmer-Galler I, Smith K, Abramoff MD, Channa R. The SEE Study: Safety, Efficacy, and Equity of Implementing Autonomous Artificial Intelligence for Diagnosing Diabetic Retinopathy in Youth. Diabetes Care. 2021 Mar;44(3):781-787. doi: 10.2337/dc20-1671. Epub 2021 Jan 21.
- Porter M, Channa R, Wagner J, Prichett L, Liu TYA, Wolf RM. Prevalence of diabetic retinopathy in children and adolescents at an urban tertiary eye care center. Pediatr Diabetes. 2020 Aug;21(5):856-862. doi: 10.1111/pedi.13037. Epub 2020 May 31.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Endocrine System Diseases
- Vascular Diseases
- Cardiovascular Diseases
- Metabolic Diseases
- Autoimmune Diseases
- Immune System Diseases
- Glucose Metabolism Disorders
- Diabetes Mellitus
- Eye Diseases
- Diabetic Angiopathies
- Diabetes Complications
- Retinal Diseases
- Nutritional and Metabolic Diseases
- Diabetic Retinopathy
- Diabetes Mellitus, Type 2
- Diabetes Mellitus, Type 1
Other Study ID Numbers
- IRB00180692
- 1R01EY033233-01 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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