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Evidence Based Analysis Enhances Surgical Outcomes of Novice Resident Surgeons
Neel K Patel1,2,3, Kenneth L Cohen1
1Department of Ophthalmology, School of Medicine, The University of North Carolina at Chapel Hill, 5151 Bioinformatics Bldg., CB# 7040, Chapel Hill, NC 27599, USA.
Vision (Basel, Switzerland)
|July 23, 2025
Summary
Optimizing intraocular lens (IOL) constants using evidence-based methods significantly improves refractive outcomes for novice cataract surgeons. This approach enhances surgical precision and patient results, highlighting the need for formal training in IOL calculation.
Area of Science:
- Ophthalmology
- Surgical Education
- Biomedical Engineering
Background:
- Evidence-based practice is crucial for improving healthcare delivery and surgical safety.
- While competency assessments are standard in resident cataract surgery, evidence-based analysis of refractive outcomes is underutilized in educational curricula.
- Optimizing intraocular lens (IOL) calculations is essential for achieving accurate refractive outcomes post-cataract surgery.
Purpose of the Study:
- To evaluate the impact of different intraocular lens (IOL) constant optimization methods on refractive outcomes in novice ophthalmology residents.
- To compare refractive predictability using non-optimized, a0-optimized, and a0/a1/a2-optimized IOL calculation methods.
- To analyze systematic bias in effective lens position (ELP) to update manufacturer IOL constants.
Main Methods:
- A retrospective single-center study involving 21 novice ophthalmology residents performing cataract surgery.
- Comparison of refractive outcomes (Mean Absolute Error, percentage within ±0.25 D and ±0.50 D of predicted spherical equivalent) across three groups based on IOL constant optimization.
- Analysis of effective lens position (ELP) bias to update IOL constants and assess performance against established formulas.
Main Results:
- Mean Absolute Error (MAE) significantly improved with optimization: 0.44 D (non-optimized) to 0.35 D (a0-optimized, p=0.009) and 0.19 D (a0/a1/a2-optimized, p<0.001).
- The percentage of eyes within ±0.50 D of predicted outcome increased from 65.7% to 74.4% to 95.0% with optimization.
- Evidence-based optimization of IOL constants achieved outcomes comparable to ELP bias correction for advanced prediction formulas.
Conclusions:
- Evidence-based optimization of IOL constants significantly enhances refractive outcomes for novice residents in cataract surgery.
- Optimized IOL calculations can achieve refractive predictability comparable to advanced prediction models.
- A formal curriculum focusing on IOL calculation and optimization is warranted to improve resident surgical education and patient outcomes.
