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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT04705103
Other study ID # 2020KYPJ185
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date January 10, 2021
Est. completion date December 30, 2022

Study information

Verified date January 2021
Source Sun Yat-sen University
Contact Haotian Lin, M.D.,Ph.D
Phone 13802793086
Email gddlht@aliyun.com
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial Summary

Uveitis is a recurrent inflammation of the eye that can lead to vision loss with various and complicated etiologies. There are many difficulties in uveitis management due to the requirement of long-term monitoring and treatment. This study intends to establish a longitudinal cohort of uveitis patients to colloect multimodal clinical data including visual acuity, intraocular pressure, anterior segment photography, fundus photography, fluoroscopy and other ophthalmic examinations, and final diagnosis in order to use artificial intelligence and deep learning technology to extract ocular features, explore the association with the progression and prognosis of uveitis and finally establish a disease management model for uveitis.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 450
Est. completion date December 30, 2022
Est. primary completion date November 30, 2022
Accepts healthy volunteers No
Gender All
Age group N/A and older
Eligibility Inclusion Criteria: - Participants who were diagnosed as uveitis, including the initial stage or relapse, or remission of uveitis. Exclusion Criteria: - Participants who cannnot cooperate with ocualr examination.

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
Sun Yat-sen University

Outcome

Type Measure Description Time frame Safety issue
Primary uveitis progression uveitis progression is divided into remission, relapse, or initial up to 1 month
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