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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04624737
Other study ID # APHP200055
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date December 21, 2020
Est. completion date January 21, 2025

Study information

Verified date June 2023
Source Assistance Publique - Hôpitaux de Paris
Contact Ramin TADAYONI, MD
Phone +33 6 08 56 33 47
Email ramin.tadayoni@aphp.fr
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Brief Summary: The main objective of EviRed project is to develop and validate a system assisting the ophthalmologist by improving prediction of evolution, and decision making during diabetic retinopathy (DR) follow-up. It will replace the current classification of diabetic retinopathy (DR) which provides an insufficient prediction precision. It will use modern available fundus imaging devices and artificial intelligence (AI) to properly integrate the amount of data they provide with other medical data of the patient. A cohort of 5000 diabetic patients will be recruited and followed for an average of 2 years in order to collect data to train and validate the new prediction system.


Description:

A cohort of 5,000 diabetic patients with different stages of DR will be recruited and followed for an average of 2 years. Each year, general data as well as ophthalmological data will be collected. Retinal images and videos of both eyes will be acquired using different imaging modalities including ultrawidefield photography, OCT and OCT angiography. The EviRed cohort will be split in two groups: one group of 1,000 patients (validation cohort) will be randomly selected during the inclusion period by unbalanced draw to be representative of the general diabetic population. Their data will be used for the validation of the algorithms. The data of the remaining 4,000 patients (training cohort) will be used to train the algorithms. The main objective will be the validation of the prognostic tool and evaluate how accurately the algorithm can predict progression to severe retinopathy in the following year. Secondary objectives will be to evaluate how accurately the algorithm can assess DR severity and individual components of DR complications as well as to compare prediction by algorithm to that made by ophthalmologists based on the current DR classification


Recruitment information / eligibility

Status Recruiting
Enrollment 5000
Est. completion date January 21, 2025
Est. primary completion date December 21, 2024
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - patient with type 1 or type 2 diabetes or other, - aged 18 years or more, - diabetes duration greater than 10 years for type 1 diabetes, - no previous vitrectomy, - patient affiliated to social security, - women of childbearing potential who are unwilling or unable to use a method to avoid pregnancy; women who are pregnant or breastfeeding can be included in the study. Exclusion Criteria: - ungradable fundus photography or OCT/OCTA imaging, - previous treatment with vitrectomy, - participant is unable or unwilling to comply with study procedures (including foreign language speakers who are not assisted by a native language speaker), - vulnerable participants (minors, legally detained), - patients under legal protection (guardianship), - prisoners or subjects who are involuntarily incarcerated

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
France Chu Avicenne Bobigny
France Chu Bordeaux Bordeaux
France Chu Brest Brest
France Chic Creteil Créteil
France Chu Dijon Dijon
France Chu Lyon Croix Rousse Lyon
France Clinique Monticelli Marseille
France Clinique ophtalmologique du CHU de Nantes Nantes
France CHU de NICE HÔPITAL PASTEUR 2 Nice
France Centre Broca / Mutuelle Generale Paris
France Chu Lariboisiere Paris
France Chu Pitie Salpetriere Paris
France Fondation Rothschild Paris
France Hôpital des 15-20 Paris

Sponsors (1)

Lead Sponsor Collaborator
Assistance Publique - Hôpitaux de Paris

Country where clinical trial is conducted

France, 

Outcome

Type Measure Description Time frame Safety issue
Primary Progression to severe retinopathy Progression towards severe diabetic retinopathy form. month 12
Secondary Algorithm performance Algorithms will be evaluated by comparing the algorithm performance to automatically assess diabetic retinopathy severity as well as individual components of severe retinopathy against the same grading made by human graders. 3 years
Secondary Comparison of algorithms prediction to human prediction. at each patient's visit of the validation cohort, ophthalmologists will evaluate the risk of DR progression based on the current DR classification and their clinical experience. The risk of DR will be expressed by the clinician as a continuous variable (its estimated probability of progression) or as a semi-quantitative variable. Performance of the human prediction will be compared to the algorithm using sensitivity, specificity and AUC. 3 years
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