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Diabetic RetinopathyNCT03694145

Predicting Diabetic Retinopathy From Risk Factor Data and Digital Retinal Images

An observational study of Diabetic Retinopathy and Diabetic Macular Edema, run by Charles Drew University of Medicine and Science at 3 sites in United States.

Active, not recruiting

Under way, not looking for participants. Everyone needed has enrolled. The study is still running.

Official record

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Trial 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. Read more about this study

Who is it for?
Ages 18 years and older
Conditions the study is for
Diabetic Retinopathy, Diabetic Macular Edema
What is being tested?
In-Person Eye Examination
How many people
300 participants
Where
3 sitesUnited States
Study dates
25 Oct 2018to 31 Jul 2027
Phase
Observational

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: 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.

Who may be able to join

  • 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

Who cannot join

  • 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).

Trial locations and contacts

3 sites in 1 country.

United States3 sites
  • Los Angeles Department of Public Health

    Los Angeles, California, 90012

  • University of California - Los Angeles

    Los Angeles, California, 90024

  • Charles R. Drew University of Medicine and Science

    Los Angeles, California, 90059

Other trials in United States

About this study

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.

Read the detailed description

This study represents the third aim of a grant with five aims. The study will compare and evaluate the predictive accuracy of: (a) machine learning models developed to grade diabetic retinopathy and assess the presence or absence of diabetic macular edema and (b) the assessments of optometrist readers, both from digital retinal images, against standard of care dilated retinal examinations by board-certified ophthalmologists and/or retinal-specialty fellows for 300 diabetic patients utilizing a Los Angeles County reading center.

For the study, the investigators will recruit 300-500 eligible diabetic patients for in-person eye examinations performed by board certified ophthalmologists and/or retinal-specialty fellows at Los Angeles County reading centers. The study will take place over the course of two visits: a teleretinal screening and an in-person eye examination.

The in-person dilated eye examinations that the study participants will participate in and be compensated for follow the usual standard of care that patients receive in a setting that does not utilize teleretinal screening. Yearly dilated eye examinations are standard of care for all persons with diabetes.

Being tested
In-Person Eye Examination
Medical subject headings
Diabetic Retinopathy

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • In-Person Eye ExaminationOther

    Dilated in-person eye examination by a board-certified ophthalmologist or retinal fellow.

Study groups in NCT03694145
Study groupRoleWhat they receive
Diabetic patients w. risk of retinopathyThe 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.
Receives: Other: In-Person Eye Examination

What is being measured

The primary outcome is the main question the study is designed to answer.

  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.

    Measured: 11/2022

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted3 Oct 2018
  2. Study start25 Oct 2018
  3. Primary completion31 May 2027 (estimated)
  4. Study completion31 Jul 2027 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Other
Time perspective
Prospective
Enrolment
300 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT03694145
Sponsor's protocol ID
1218589-3
Other IDs
R01LM012309
Status last verified
Oct 2026
First submitted
1 Oct 2018
Last updated
22 Oct 2026
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

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