A Big Data-based Cohort Study for Cataract Patients

January 3, 2024 updated by: Haotian Lin, Sun Yat-sen University

Cataract is an important cause of blindness and visual impairment worldwide. At present, the only effective treatment method is surgery. The visual function of most patients can be significantly improved after surgery, but there are still 5-20% of patients whose visual function cannot be improved after surgery. Previous studies have found that the surgical complications and postoperative visual function of cataract patients are closely related to the condition of the fundus, but the current fundus camera cannot perform clear fundus imaging of cataract patients, and the existing potential visual inspections, such as retinal visual inspection, are also inaccurate. Predict postoperative visual acuity. Therefore, there is an urgent need for a reliable postoperative effect prediction system for cataract patients to provide reference for both ophthalmologists and patients.

This study intends to collect patient medical record information and traditional/ultra-wide fundus photos and other multi-modal data. Firstly, this study will use artificial intelligence technology to enhance fundus photos of cataract patients to obtain clearer fundus photos. Then this study will use both medical record information and traditional/ultra-wide fundus photographs to predict postoperative vision and visual function of cataract patients.

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

1000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • China
    • Guangdong
      • Guangzhou, Guangdong, China, 510060
        • Recruiting
        • Zhognshan Ophthalmic Center, Sun Yat-sen University
        • Contact:
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

All candidates for cataract surgery (phacoemulsification and intraocular lens implantation) within a week.

Description

Inclusion Criteria:

  • Candidates for cataract surgery (phacoemulsification and intraocular lens implantation) within a week.

Exclusion Criteria:

  • Unwilling or unable to receive fundus photography

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change of best corrected visual acuity
Time Frame: Baseline and 1 week after surgery
Change of best corrected visual acuity from baseline to 1 week after surgery
Baseline and 1 week after surgery
Accuracy for detection of retinal disorders
Time Frame: 1 week after surgery
Accuracy for detection of retinal disorders using enhanced fundus images
1 week after surgery

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Sun Yat-sen University

Investigators

  • Principal Investigator: Haotian Lin, M.D., Ph.D., Zhongshan Ophthalmic Center, Sun Yat-sen University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 1, 2020

Primary Completion (Estimated)

December 1, 2024

Study Completion (Estimated)

June 1, 2025

Study Registration Dates

First Submitted

August 7, 2021

First Submitted That Met QC Criteria

August 4, 2022

First Posted (Actual)

August 8, 2022

Study Record Updates

Last Update Posted (Actual)

January 5, 2024

Last Update Submitted That Met QC Criteria

January 3, 2024

Last Verified

January 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • CCPMOH2021-China-1

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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