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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04044755
Other study ID # CCPMOH2019-China-3
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date August 3, 2019
Est. completion date November 30, 2020

Study information

Verified date August 2019
Source Sun Yat-sen University
Contact Yahan Yang
Phone +8615521013933
Email yah.yang39@hotmail.com
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial 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


Description:

We propose to enroll myopia children aged 8-10 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


Recruitment information / eligibility

Status Recruiting
Enrollment 2138
Est. completion date November 30, 2020
Est. primary completion date November 30, 2020
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 8 Years to 10 Years
Eligibility Inclusion Criteria:

- Children aged 8-10

- Has the record of eye refraction examined in the past year, SER<-0.5D

- Current BCVA=0.8, SER<-0.5D, Astigmatism less than 1.50 D, anisometropia less than 1.50 D

- Written informed consents provided

Exclusion Criteria:

- Definitive diagnosis of other diseases except for refractive error

- Previous eye surgery

- Previous usage of orthokeratology lenses and atropine

- Unwilling to participate in this trial

Study Design


Related Conditions & MeSH terms


Intervention

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.

Locations

Country Name City State
China Zhongshan Ophthalmic Centre Guangzhou Guangdong

Sponsors (1)

Lead Sponsor Collaborator
Sun Yat-sen University

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Primary Incidence of SER development of at least -0.5 dioptres (D) SER: spherical equivalent refraction, 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 Incidence of SER development of at least -1.0 dioptres (D) SER: spherical equivalent refraction, sphere + ½ 360 cylinder; SER development of at least -1.0 dioptres: SER2 - SER1=-0.5D; SER1: SER at baseline; SER2: SER up to 2 year Up to 2 year
Secondary Changes in SER \ and AL Changes in SER \ and AL will be calculated; AL: axial length Up to 1 year
Secondary Changes in SER \ and AL Changes in SER \ and AL will be calculated; AL: axial length Up to 2 year
Secondary Changes in proportion of children using atropine Changes in proportion of children using atropine will be calculated Up to 1 year
Secondary Changes in proportion of children using atropine Changes in proportion of children using atropine will be calculated Up to 2 year
Secondary Changes in proportion of children using orthokeratology lenses Changes in proportion of children using orthokeratology lenses will be calculated Up to 1 year
Secondary Changes in proportion of children using orthokeratology lenses Changes in proportion of children using orthokeratology lenses will be calculated Up to 2 year
Secondary Changes in proportion of children using spectacles Changes in proportion of children using spectacles will be calculated Up to 1 year
Secondary Changes in proportion of children using spectacles Changes in proportion of children using spectacles will be calculated Up to 2 year
Secondary Changes in child's average outdoor activity time per day Changes in child's average outdoor activity time per day will be calculated Up to 1 year
Secondary Changes in child's average outdoor activity time per day Changes in child's average outdoor activity time per day will be calculated Up to 2 year
Secondary Changes in child's average screen time per day Changes in child's average screen time per day will be calculated Up to 1 year
Secondary Changes in child's average screen time per day Changes in child's average screen time per day will be calculated Up to 2 year
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