MedTrace Logo

Investigating the Effect of Using Myopia Prediction Algorithm on Myopia Children

NCT04044755 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 2138

Last updated 2019-08-07

No results posted yet for this study

Summary

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

Conditions

  • Refractive Errors

Interventions

OTHER

Myopia prediction algorithm

Candidate predictors mainly includes age at examination, SER, and annual progression rate. Using these predictors, the algorithm will be used to predict SER at 3 years.

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Principal Investigators

  • Haotian Lin · Zhongshan Ophthalmic Center, Sun Yat-sen University

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
8 Years
Max Age
10 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2019-08-03
Primary Completion
2020-11-30
Completion
2020-11-30

Countries

  • China

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04044755 on ClinicalTrials.gov