Effect of Using Myopia Prediction Algorithm

July 1, 2019 updated by: Haotian Lin, Sun Yat-sen University

Effect of Using Myopia Prediction Algorithm on Children's Eye Refraction in China: a Multi-center Randomized Control Trial

In this study, the investigators aim to perform a prospective, randomized controlled study to compare the myopia development between children using myopia prediction algorithm and children without using myopia prediction algorithm.

Study Overview

Status

Unknown

Intervention / Treatment

Detailed Description

We propose to enroll Grade 3 children from primary schools in China. Children will be given examinations of visual acuity, eye refraction and biometrics, and be assigned to two groups: participants in group A use myopia prediction algorithm to predict myopia development, while in Group B, the participants do not use myopia prediction algorithm to predict myopia development. The visual acuity, eye refraction and biometrics will be investigated over the one-year follow-up period, aiming at comparison of actual myopia development between the two groups.

Study Type

Interventional

Enrollment (Anticipated)

1680

Phase

  • Not Applicable

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 Contact Backup

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

8 years to 9 years (Child)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Children at Grade 3 (aged 8-9)
  • Has the record of eye refraction examined in the past year
  • Written informed consents provided

Exclusion Criteria:

  • Definitive diagnosis of other ocular abnormalities except for refractive error
  • Previous eye surgery
  • Unwilling to participate in this trial

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

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Using myopia prediction algorithm
After examination of visual acuity, eye refraction and biometrics, the examination results are shown to the children. Meanwhile, myopia prediction algorithm will be used to predict SE and presence of high myopia in the subsequent 10 years.
Candidate predictors included age at examination, SE, and annual progression rate. Using these predictors, the algorithm will be used to predict SE and whether patients will progress to high myopia in the subsequent 10 years.
No Intervention: Not using myopia prediction algorithm
After examination of visual acuity, eye refraction and biometrics, the examination results are shown to the children.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Incidence of SER development of at least -0.5 dioptres (D)
Time Frame: Up to 1 year
SER: sphere + ½ 360 cylinder; SER development of at least -0.5 dioptres: SER2 - SER1≤-0.5D; SER1: SER at baseline; SER2: SER up to 1 year
Up to 1 year

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Changes in SER \and AL
Time Frame: Up to 1 year
Changes in SER \and AL will be calculated; AL: axial length
Up to 1 year
Changes in proportion of children using atropine
Time Frame: Up to 1 year
Changes in proportion of children using atropine will be calculated
Up to 1 year
Changes in proportion of children using orthokeratology lenses
Time Frame: Up to 1 year
Changes in proportion of children using orthokeratology lenses will be calculated
Up to 1 year
Changes in proportion of children using spectacles
Time Frame: Up to 1 year
Changes in proportion of children using spectacles will be calculated
Up to 1 year
Changes in child's average outdoor activity time per day
Time Frame: Up to 1 year
Changes in child's average outdoor activity time per day will be calculated
Up to 1 year
Changes in child's average screen time per day
Time Frame: Up to 1 year
Changes in child's average screen time per day will be calculated
Up to 1 year

Collaborators and Investigators

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

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 (Anticipated)

July 8, 2019

Primary Completion (Anticipated)

January 31, 2021

Study Completion (Anticipated)

January 31, 2021

Study Registration Dates

First Submitted

July 1, 2019

First Submitted That Met QC Criteria

July 1, 2019

First Posted (Actual)

July 2, 2019

Study Record Updates

Last Update Posted (Actual)

July 2, 2019

Last Update Submitted That Met QC Criteria

July 1, 2019

Last Verified

July 1, 2019

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • CCPMOH2019-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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