Predicting Diabetic Retinopathy From Risk Factor Data and Digital Retinal Images
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|ClinicalTrials.gov Identifier: NCT03694145|
Recruitment Status : Recruiting
First Posted : October 3, 2018
Last Update Posted : November 7, 2018
|Condition or disease||Intervention/treatment|
|Diabetic Retinopathy Diabetic Macular Edema||Other: In-Person Eye Examination|
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.
|Study Type :||Observational|
|Estimated Enrollment :||500 participants|
|Official Title:||Predicting Diabetic Retinopathy From Risk Factor Data and Digital Retinal Images|
|Actual Study Start Date :||October 25, 2018|
|Estimated Primary Completion Date :||October 2019|
|Estimated Study Completion Date :||September 2020|
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.
Other: In-Person Eye Examination
Dilated in-person eye examination by a board-certified ophthalmologist or retinal fellow.
- Proportion of patients accurately diagnosed with retinopathy [ Time Frame: 09/2019 ]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.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03694145
|Contact: Junko Nishitani, PhDemail@example.com|
|United States, California|
|Los Angeles Department of Public Health||Recruiting|
|Los Angeles, California, United States, 90012|
|Contact: Lauren Daskivich, MD firstname.lastname@example.org|
|Contact: David Hindman, PhD email@example.com|
|Principal Investigator: Lauren Daskivich, MD|
|Sub-Investigator: David Hindman, PhD|
|University of California - Los Angeles||Not yet recruiting|
|Los Angeles, California, United States, 90024|
|Contact: Ricky Taira, PhD firstname.lastname@example.org|
|Principal Investigator: Ricky Taira, PhD|
|Charles R. Drew University of Medicine and Science||Not yet recruiting|
|Los Angeles, California, United States, 90059|
|Contact: Omolola Ogunyemi, PhD email@example.com|
|Contact: Muhsinah Saleem, MA firstname.lastname@example.org|
|Principal Investigator: Omolola Ogunyemi, PhD|
|Sub-Investigator: Lauren Daskivich, MD|
|Sub-Investigator: Ricky Taira, PhD|
|Principal Investigator:||Omolola Ogunyemi, PhD||Charles Drew University of Medicine and Science|