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Updated: Jun 14, 2025

Three Different Protocols of Corneal Collagen Crosslinking in Keratoconus: Conventional, Accelerated and Iontophoresis
Published on: November 12, 2015
Intraocular lens power calculation accuracy in patients with keratoconus: Network meta-analysis and systematic review
Olga Reitblat1,2, Ruti Sella3, Rita Zlatkin1,2
1Department of Ophthalmology, Rabin Medical Center, Petach Tikva, Israel.
Background:
Accurate intraocular lens (IOL) calculation in eyes with keratoconus (KCN) poses significant challenges. While various formulas, including KCN-specific ones, have been investigated, the optimal calculation method remains inconclusive.
Methods:
The study was pre-registered in PROSPERO (CRD42023483119). PubMed, Embase and CENTRAL electronic databases were systematically searched for studies comparing IOL power calculation formulas in eyes with KCN. The percentage of eyes with a prediction error (PE) within ±0.50 D and ±1.00 D, the mean PE and the mean absolute error (MAE) were compared using a random effect model in Bayesian network meta-analysis.
Results:
Nine retrospective clinical studies were included, totalling 623 eyes and 25 calculation methods. The Barrett True-K formula for KCN with measured posterior cornea (BTK MPC) achieved the highest ranking for the percentage of PE within ±0.50 D and ±1.00 D, mean PE, and MAE, with surface under the cumulative ranking (SUCRA) of 95%, 95%, 97% and 95%, respectively. Subgroup analysis showed that for the predictability rates within ±0.50 D and ±1.00 D, the best ranking formulas were: Emmetropia Verifying Optical (EVO) (85%) and BTK MPC (78%), respectively, in mild KCN; BTK with predicted posterior cornea (PPC) (85%) and MPC (88%), respectively, in moderate KCN; and Kane KCN for both metrics in severe KCN (84% and 95%, respectively).
Conclusion:
The BTK MPC formula ranked highest across various metrics, suggesting its superior accuracy for IOL calculations in KCN. The optimal formulas may differ based on KCN severity, with current evidence suggesting potential advantage of Kane KCN for severe cases.
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