Validation of a Regression Model for Predicting Refractive Outcomes Post-Cataract Surgery in Pterygium-Affected Eyes
By
Keiji Sato
Ayaka Kawamatsu
Shinya Takahashi
Eri Ishikawa
Yasuhito Ikeda
Toru Kawanobe
Shingo Noda
Yuichiro Tanaka
Tadahiko Kozawa
March 26, 2026
Clinical Scorecard: Validation of a Regression Model for Predicting Refractive Outcomes Post-Cataract Surgery in Pterygium-Affected Eyes
At a Glance
Category Detail
Condition Pterygium Key Mechanisms Fibrovascular overgrowth affecting corneal curvature and inducing astigmatism. Target Population Patients undergoing staged cataract surgery after pterygium excision. Care Setting Ophthalmology clinics performing cataract and pterygium surgeries.
Key Highlights
Regression-based K estimation showed comparable refractive performance to postoperative keratometry. Significant differences were found among four keratometric methods for mean K and refractive error. Preoperative corneal characteristics may influence refractive predictability. A staged approach is generally recommended for optimal outcomes. Sensitivity analyses confirmed findings excluding toric IOL cases. Guideline-Based Recommendations
Diagnosis
Assess corneal shape and astigmatism in patients with pterygium. Management
Consider staged cataract surgery after pterygium excision to allow corneal stabilization. Monitoring & Follow-up
Evaluate postoperative refractive outcomes one month after cataract surgery. Risks
Unintended myopic outcomes may occur if surgeries are performed simultaneously. Patient & Prescribing Data
Unilateral pterygium-affected eyes undergoing cataract surgery.
Use regression models for IOL power calculation when postoperative K values are unavailable.
Clinical Best Practices
Perform pterygium excision prior to cataract surgery for better refractive outcomes. Utilize the Barrett Universal II formula for IOL power calculation. Conduct thorough preoperative assessments of corneal parameters. Related Resources & Content
