Clinical Trials in China / NCT07690813
Recruiting
Observational
ML Models Predicting Cycloplegic Refractive Error Based on Non-Cycloplegic Parameters in Myopic Adults
NCT07690813 · tracked via the Priya Life Science China tracker
Condition(s) studied
Refractive ErrorsCycloplegic RefractionAccommodation
Investigational drug(s) / intervention(s)
Machine learning model for predicting cycloplegic refraction
Machine learning model for predicting cycloplegic refraction: The machine learning model was applied to each participant's non-cycloplegic parameters to predict cycloplegic spherical equivalent.
Study summary
This study presents a machine learning model that predicts cycloplegic refraction in adults with myopia using standard non-cycloplegic eye measurements, aiming to reduce the need for cycloplegic drops while still identifying patients who require them.
Eligibility
Inclusion Criteria:
1. Age 18 to 60 years, of either sex;
2. Spherical equivalent between -0.50 diopters and -10.00 diopters, with myopia in one or both eyes, and with cylinder of 4.00 diopters or less;
3. Best-corrected visual acuity of 20/25 or better in each eye;
4. Clear cornea, no keratoconus, corneal scarring, or other pathologies; clear lens;
5. Intraocular pressure of 21 mmHg or less, with no history of glaucoma;
6. No history of ocular surgery, especially corneal refractive surgery or cataract surgery;
7. Time interval between non-cycloplegic refraction and cycloplegic refraction of 7 days or less, with complete data.
Exclusion Criteria:
1. Incomplete clinical data to support the diagnosis;
2. Ocular conditions such as subclinical keratoconus, keratoconus, or moderate-to-severe corneal haze or leukoma;
3. Allergy or contraindication to cycloplegic agents;
4. Refusal to participate in the study.
Primary outcome measure(s)
- Accuracy of predicted cycloplegic spherical equivalent — Day 0
Accuracy of the machine learning model in predicting cycloplegic spherical equivalent in the validation dataset, evaluated by mean absolute error, root mean square error, and coefficient of determination, expressed for spherical equivalent in diopters.
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| The Second Affiliated Hospital of Nanchang University, Nanchang, JiangXi 330000 | Jiangxi | China | Recruiting |
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Official registry record
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07690813 on ClinicalTrials.gov ↗ ← All trials in China