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Predictive model for orthokeratology efficacy

Development and validation of a deep learning–based model for predicting orthokeratology efficacy in myopic children: A multicenter retrospective study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600117371
Enrollment
Unknown
Registered
2026-01-23
Start date
2026-01-23
Completion date
Unknown
Last updated
2026-01-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Myopia

Interventions

Poor response group:None
Good response group:None

Sponsors

Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
8 Years to 15 Years

Inclusion criteria

Inclusion criteria: 1.Age 8–15 years, either sex; 2.Spherical power of myopia ranges from -1.00 D to -6.00 D; 3.Astigmatism <=1.50 D; 4.No external-eye, anterior-segment, or fundus abnormalities on examination; 5.Completed 1-year follow-up (12 +/- 2 months) from the initial visit;

Exclusion criteria

Exclusion criteria: 1.Prior RGP contact-lens wear; 2.History of prior myopia-control interventions; 3.Severe ocular or systemic disease; 4.Discontinuation of lens wear for >2 weeks at any time during follow-up; 5.Best-corrected visual acuity worse than 0.1 logMAR; 6.Incomplete or poor-quality data;

Design outcomes

Primary

MeasureTime frame
Axial length ;—

Countries

China

Contacts

Public ContactJibo Zhou

Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine

zhoujibo1000@aliyun.com+86 21 23271699

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026