Machine Learning Prediction of 1-Year Refractive Error After SMILE
SMILE
Development and Internal Validation of a Multi-output Machine Learning Model for Predicting 1-Year Postoperative Refractive Prediction Error After Small Incision Lenticule Extraction and Comparative Virtual Planning Analysis Against ZEISS 4.0
2 other identifiers
observational
1,100
1 country
1
Brief Summary
This retrospective single-center observational study is designed to develop and internally validate a multi-output machine learning model for predicting 1-year postoperative refractive prediction error after small incision lenticule extraction (SMILE). The primary modeling target is 1-year spherical equivalent prediction error. Secondary targets include J0 prediction error, J45 prediction error, and postoperative uncorrected distance visual acuity in logarithm of the minimum angle of resolution. A secondary objective is to use the prediction framework to derive individualized nomogram recommendations and to compare these recommendations with ZEISS 4.0 planning in a virtual treatment-planning analysis.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2018
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 1, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
January 31, 2026
CompletedFirst Submitted
Initial submission to the registry
March 12, 2026
CompletedFirst Posted
Study publicly available on registry
March 17, 2026
CompletedMarch 17, 2026
March 1, 2026
7.3 years
March 12, 2026
March 12, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Mean Absolute Error of Predicted 1-Year Postoperative Spherical Equivalent Prediction Error
Model performance for prediction of 1-year postoperative spherical equivalent prediction error, assessed in diopters.
1 year after SMILE
Secondary Outcomes (2)
Mean Absolute Error of Predicted 1-Year Postoperative J0 Prediction Error
1 year after SMILE
Mean Absolute Error of Predicted 1-Year Postoperative J45 Prediction Error
1 year after SMILE
Study Arms (2)
Training Cohort
Eyes included in the prespecified training dataset for development of the multi-output machine learning model.
Test Cohort
Eyes included in the prespecified independent test dataset for internal validation of the multi-output machine learning model.
Eligibility Criteria
People with moderate myopia who have undergone SMILE surgeries
You may qualify if:
- Eyes that underwent SMILE for correction of myopia or myopic astigmatism
- Availability of preoperative examination data and surgical planning data
- Availability of postoperative follow-up data at approximately 1 year
- Age ≥ 18 years
You may not qualify if:
- Previous ocular surgery in the study eye
- Ocular comorbidity likely to affect refractive or visual outcome
- Intraoperative or postoperative complications that precluded standard outcome assessment
- Missing key variables required for analysis
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Shanghai Tenth People's Hospital
Shanghai, Shanghai Municipality, 200072, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD
Study Record Dates
First Submitted
March 12, 2026
First Posted
March 17, 2026
Study Start
September 1, 2018
Primary Completion
December 31, 2025
Study Completion
January 31, 2026
Last Updated
March 17, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share