Network meta-analysis compares IOL calculation accuracy in cataract eyes post-vitrectomy, suggesting optimal formulas for better outcomes.
Objective: To systematically compare the accuracy of artificial intelligence and traditional intraocular lens (IOL) calculation formulas in cataract eyes after vitrectomy with silicone oil tamponade. Methods: PubMed, Cochrane, Embase, and Web of Science databases were searched to select relevant studies published up to October 29, 2025. 12 formulas (SRK/T, Hoffer Q, Hoffer QST, Haigis, Barrett Universal II, Holladay I, Holladay II, RBF, LSF, EVO, Kane, and Pearl-DGS) were included for final comparison. The primary outcomes were the percentage of eyes with prediction errors (PE) within ±0.50D and ±1.00D. Results: This meta-analysis included 7 studies comprising 1060 eyes. Overall, compared to traditional formulas, newer formulas demonstrated relatively higher accuracy. The results indicated that among all the formulas being compared, the optimal formula was Kane. For the percentage of eyes with PE within ±0.50 D, Kane had the highest precision. For the IOL power percentage within ±1.00 D, EVO performed the best, with Kane also ranking highly, Furthermore, RBF also performed very well. Conclusion: Kane and EVO appear to be better choices for silicone oil-filled eyes after vitrectomy.
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