Diabetic RetinopathyEVIREDNCT04624737
Intelligent Evaluation of Diabetic Retinopathy
A study testing Diagnostic in people with Diabetic Retinopathy, run by Assistance Publique - Hôpitaux de Paris at 14 sites in France.
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 for a patient. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Diabetic Retinopathy
- What is being tested?
- Diagnostic
- How many people
- 3,183 participants
- Where
- 14 sitesFrance
- Study dates
- 21 Dec 2020to 18 Dec 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
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
Who may be able to join
- 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.
Who cannot join
- 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.
Trial locations and contacts
14 sites in 1 country.
14 sites in 1 country
France14 sites
Chu Avicenne
Bobigny, 93000
Chu Bordeaux
Bordeaux, 33000
Chu Brest
Brest, 29200
Chic Creteil
Créteil, 94010
Chu Dijon
Dijon, 21000
Chu Lyon Croix Rousse
Lyon, 69317
Clinique Monticelli
Marseille, 13008
Clinique ophtalmologique du CHU de Nantes
Nantes, 44000
CHU de NICE HÔPITAL PASTEUR 2
Nice, CS 51069_06001, Nice cedex1
Chu Lariboisiere
Paris, 75010
Centre Broca / Mutuelle Generale
Paris, 75013
Chu Pitie Salpetriere
Paris, 75013
Fondation Rothschild
Paris, 75019
Hôpital des 15-20
Paris, 75571
About this study
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.
Read the detailed 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 severe DR, predict progression to severe retinopathy, visual decrease, occurrence of fluid in the macula area in an eye, DR progression in an eye and for a patient, as well as to compare prediction by algorithm with the one made by ophthalmologists based on the current DR classification and their clinical experience. Secondary outcome measures will be sensitivity, specificity and AUC of the algorithm for detecting DR severity and individual components of severe DR, prediction of DR progression towards a severe form of DR, visual decrease, occurrence of fluid in the macular area in an eye, as well as to predict DR progression in an eye and for a patient.
Economic study Healthcare reimbursement data will also be collected and analyzed from Health Insurance. The inclusion and follow-up period of the cohort runs from 12/21/2020 to 12/21/2024, with follow-up durations varying from 1 to 3 years.
- Conditions
- Diabetic Retinopathy
- Being tested
- Diagnostic
- Keywords
- Diabetic retinopathy. ., Diabetes, Artificial intelligence., Deep learning
- Medical subject headings
- Diabetic Retinopathy, Diabetes Mellitus
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
DiagnosticDiagnostic test
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.
What is being measured
The primary outcome is the main question the study is designed to answer.
Progression to severe retinopathy
Progression towards severe diabetic retinopathy form.
Measured: month 12
Secondary outcomes (2)
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.
Measured: 3 years
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.
Measured: 3 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Nov 2020
- Study start21 Dec 2020
- Primary completion18 Dec 2025
- Study completion18 Dec 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Diabetic RetinopathyStudies of the same condition, open and under way.
- More trials run by Assistance Publique - Hôpitaux de ParisThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Non-randomised
- Intervention model
- Single group
- Model description
- Retinal images and videos of both eyes will be acquired using different imaging modalities including widefield photography, OCT and OCT angiography. All images and data will be collected thanks to a common platform and centralized on a server. The EVIRED cohort will be randomly split in two groups: one group of 4000 patients for building algorithms and one group of 1,000 patients to validate them (validation cohort)
- Masking
- None (open label)
- Enrolment
- 3,183 participants (actual)
Sponsor and investigators
- Lead sponsor
- Assistance Publique - Hôpitaux de Paris
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04624737
- Sponsor's protocol ID
- APHP200697
- Acronym
- EVIRED
- Status last verified
- Jan 2026
- First submitted
- 7 Sep 2020
- Last updated
- 15 Jan 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
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.
PubMed 38626974
Study at a glance
From the registry record, last updated by the sponsor on 15 Jan 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Intelligent Evaluation of Diabetic Retinopathy
- ClinicalTrials.gov ID
- NCT04624737
- Acronym / sponsor ID
- EVIRED / APHP200697
- Conditions
- Diabetic Retinopathy
- Keywords
- Diabetic retinopathy. ., Diabetes, Artificial intelligence., Deep learning
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 3,183 participants (actual)
- Lead sponsor
- Assistance Publique - Hôpitaux de ParisUniversity, hospital or other
- Study start
- 21 Dec 2020 (actual)
- Primary completion
- 18 Dec 2025 (actual)
- Study completion
- 18 Dec 2025 (actual)
- First posted
- 12 Nov 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed 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 severe DR, predict progression to severe retinopathy, visual decrease, occurrence of fluid in the macula area in an eye, DR progression in an eye and for a patient, as well as to compare prediction by algorithm with the one made by ophthalmologists based on the current DR classification and their clinical experience. Secondary outcome measures will be sensitivity, specificity and AUC of the algorithm for detecting DR severity and individual components of severe DR, prediction of DR progression towards a severe form of DR, visual decrease, occurrence of fluid in the macular area in an eye, as well as to predict DR progression in an eye and for a patient.
Economic study Healthcare reimbursement data will also be collected and analyzed from Health Insurance. The inclusion and follow-up period of the cohort runs from 12/21/2020 to 12/21/2024, with follow-up durations varying from 1 to 3 years.
Study design
- Primary purpose
- Prevention
- Allocation
- Non-randomised
- Intervention model
- Single group
- Masking
- None (open label)
- Model description
- Retinal images and videos of both eyes will be acquired using different imaging modalities including widefield photography, OCT and OCT angiography. All images and data will be collected thanks to a common platform and centralized on a server. The EVIRED cohort will be randomly split in two groups: one group of 4000 patients for building algorithms and one group of 1,000 patients to validate them (validation cohort)
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (5 listed)
- 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.
Key exclusion criteria (7 listed)
- 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),
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| DiagnosticDes 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. | Diagnostic test | – |
Primary outcome
Progression to severe retinopathy
Time frame: month 12
Progression towards severe diabetic retinopathy form.
2 secondary outcomes
Algorithm performance
Time frame: 3 years
Comparison of algorithms prediction to human prediction.
Time frame: 3 years
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Jan 2026.
- Derived from this study: PubMed 38626974Tadayoni 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
14 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Diagnostic in people with Diabetic Retinopathy, run by Assistance Publique - Hôpitaux de Paris at 14 sites in France.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 7 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 15 Jan 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 14 sites in France. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Progression to severe retinopathy (time frame: month 12). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04624737, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Jan 2026.