Intelligent Evaluation of Diabetic Retinopathy
EVIRED
1 other identifier
interventional
3,183
1 country
14
Brief 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 for a patient. 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. An economic study will also be carried out.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Dec 2020
Longer than P75 for not_applicable
14 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 7, 2020
CompletedFirst Posted
Study publicly available on registry
November 12, 2020
CompletedStudy Start
First participant enrolled
December 21, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 18, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 18, 2025
CompletedJanuary 15, 2026
January 1, 2026
5 years
September 7, 2020
January 13, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Progression to severe retinopathy
Progression towards severe diabetic retinopathy form.
month 12
Secondary Outcomes (2)
Algorithm performance
3 years
Comparison of algorithms prediction to human prediction.
3 years
Interventions
Des images et des vidéos de la rétine des deux yeux seront acquises en utilisant différentes modalités d'imagerie, notamment la photographie grand champ, l'OCT et l'angiographie OCT. Toutes les images et les données seront collectées grâce à une plateforme commune et centralisées sur un serveur.
Eligibility Criteria
You may qualify if:
- 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,
- 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.
You may not qualify if:
- ungradable fundus photography or OCT/OCTA imaging in both eyes,
- previous treatment with vitrectomy in both eyes,
- participant is unable or unwilling to comply with study procedures (including foreign language speakers who are not assisted by a native language speaker),
- Gestational diabetes vulnerable participants (minors, legally detained),
- patients under legal protection (guardianship),
- prisoners or subjects who are involuntarily incarcerated,
- patients with untreated or treated proliferative DR and macular edema involving the center of the macula in both eyes or with panretinal photocoagulation and untreated or treated macular edema involving the center of the macula in both eyes.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (14)
Chu Avicenne
Bobigny, 93000, France
Chu Bordeaux
Bordeaux, 33000, France
Chu Brest
Brest, 29200, France
Chic Creteil
Créteil, 94010, France
Chu Dijon
Dijon, 21000, France
Chu Lyon Croix Rousse
Lyon, 69317, France
Clinique Monticelli
Marseille, 13008, France
Clinique ophtalmologique du CHU de Nantes
Nantes, 44000, France
CHU de NICE HÔPITAL PASTEUR 2
Nice, CS 51069_06001, Nice cedex1, France
Chu Lariboisiere
Paris, 75010, France
Centre Broca / Mutuelle Generale
Paris, 75013, France
Chu Pitie Salpetriere
Paris, 75013, France
Fondation Rothschild
Paris, 75019, France
Hôpital des 15-20
Paris, 75571, France
Related Publications (1)
Tadayoni R, Massin P, Bonnin S, Magazzeni S, Lay B, Le Guilcher A, Vicaut E, Couturier A, Quellec G, Investigators E. Artificial intelligence-based prediction of diabetic retinopathy evolution (EviRed): protocol for a prospective cohort. BMJ Open. 2024 Apr 15;14(4):e084574. doi: 10.1136/bmjopen-2024-084574.
PMID: 38626974DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 7, 2020
First Posted
November 12, 2020
Study Start
December 21, 2020
Primary Completion
December 18, 2025
Study Completion
December 18, 2025
Last Updated
January 15, 2026
Record last verified: 2026-01