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A Predictive Model for Postoperative Complications of Corneal Refractive Surgery

Construction of a Predictive Model for Postoperative Complications of Corneal Refractive Surgery Based on Machine Learning Algorithms

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500110110
Enrollment
Unknown
Registered
2025-09-30
Start date
2025-10-01
Completion date
Unknown
Last updated
2025-10-06

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

Conditions

Dry eye

Interventions

Observational group:None

Sponsors

Tianjin Medical University Eye Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 50 Years

Inclusion criteria

Inclusion criteria: 1. Patients aged >=18 years who have undergone refractive corneal surgery; 2. Preoperative best-corrected distant visual acuity >=0.8.

Exclusion criteria

Exclusion criteria: 1. Pre-existing systemic diseases that may affect the eyes or severe ocular conditions (including glaucoma, retinal diseases, or severe ocular surface diseases); 2. Presence of psychiatric or psychological disorders that impair cooperation with surgical procedures or follow-up visits; 3. Pregnant or lactating patients.

Design outcomes

Primary

MeasureTime frame
Dry eye;Postoperative spherical equivalent (SE);Fluorescein Break-Up Time;Schirmer I Test;Corneal Staining Score;

Countries

China

Contacts

Public ContactZhao Shaozhen

Tianjin Medical University Eye Hospital

zhaosz1997@sina.com+86 22 86428818

Outcome results

None listed

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