Predicting Diabetic Retinopathy From Risk Factor Data and Digital Retinal Images
2 other identifiers
observational
300
1 country
3
Brief Summary
The objective of this study is to compare the results of a deep learning approach to diabetic retinopathy assessment with results from (1) an in-person examination with an ophthalmologist, and (2) the assessments of optometrists involved in a teleretinal screening program.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2018
Longer than P75 for all trials
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
October 1, 2018
CompletedFirst Posted
Study publicly available on registry
October 3, 2018
CompletedStudy Start
First participant enrolled
October 25, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
July 31, 2025
CompletedFebruary 14, 2025
November 1, 2024
6.6 years
October 1, 2018
February 12, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Proportion of patients accurately diagnosed with retinopathy
Proportion of patients accurately diagnosed with retinopathy using machine learning versus proportion accurately diagnosed by teleretinal screening optometrists with in-person eye examinations by ophthalmologists used as a gold standard.
11/2022
Study Arms (1)
Diabetic patients w. risk of retinopathy
The 300-500 patients to be enrolled for the study are diabetic patients normally seen by the Los Angeles County Department of Health Services (LACDHS) Teleretinal Diabetic Retinopathy Screening Program and Reading Center. In addition to receiving their recommended LACDHS annual teleretinal screening, for the study, participants will receive an additional in-person eye examination.
Interventions
Dilated in-person eye examination by a board-certified ophthalmologist or retinal fellow.
Eligibility Criteria
The study population comprises patients with Type I or Type II diabetes who are normally seen at LACDHS clinics and usually screened for diabetic retinopathy via teleretinal screening.
You may qualify if:
- Patients diagnosed with Type I or Type II Diabetes
- Patients who are over the age of 18 years
- Patients who have not previously been seen in the current year by the LACDHS Teleretinal Diabetic Retinopathy Screening Program and Reading Center
- Patients whose teleretinal screening exam images yield readable results
You may not qualify if:
- Patients under the age of 18 years
- Patients with gestational diabetes
- Patients who have previously been seen in the current year by LACDHS's Teleretinal Diabetic Retinopathy Screening Program and Reading Center
- Patients whose teleretinal screening exam images do not yield readable results, as gradable images are needed for later comparison against ophthalmologist reads.
- Previously eligible patients who do not return for an in-person eye exam within 3 months of receiving a teleretinal screening (In order for the results of the teleretinal screening and in-person eye examinations to yield similar information, patients who do not return for their in-person eye exam within 3 months of their teleretinal screening will not be able to remain in the study. This is because significant eye changes not documented by the teleretinal screening may occur after a 3-month period).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (3)
Los Angeles Department of Public Health
Los Angeles, California, 90012, United States
University of California - Los Angeles
Los Angeles, California, 90024, United States
Charles R. Drew University of Medicine and Science
Los Angeles, California, 90059, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Omolola Ogunyemi, PhD
Charles Drew University of Medicine and Science
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 1, 2018
First Posted
October 3, 2018
Study Start
October 25, 2018
Primary Completion
May 31, 2025
Study Completion
July 31, 2025
Last Updated
February 14, 2025
Record last verified: 2024-11
Data Sharing
- IPD Sharing
- Will not share