Evidence map›Paper›PMID 41235860›Full record

ArticleTranslational vision science & technology2025

Improved IOL Power Calculation With Femtosecond Laser Enhanced Refractive Outcome Prediction.

Jeroen Van Der Donckt, Joshua A Young, Michael Rademaker, Saurabh Menon, Chin-Wen Chang, Gilles Vandewiele, Benjamin Straker, David Dewey, George Dai, Javier Gonzalez and 6 more

Abstract read
In one paragraph

Article in Translational vision science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Jeroen Van Der DoncktIDLab-imec, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium.
Joshua A YoungDepartment of Ophthalmology, New York University School of Medicine, New York, NY, USA.
Michael RademakerIDLab-imec, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium.
Saurabh MenonMu Sigma Business Solutions LLC, Bengaluru, India.
Chin-Wen ChangJohnson & Johnson, Global Commercial Data Science, Raritan, NJ, USA.
Gilles VandewieleIDLab-imec, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium.
Benjamin StrakerJohnson & Johnson, Research and Development, Milpitas, CA, USA.
David DeweyJohnson & Johnson, Research and Development, Milpitas, CA, USA.
George DaiJohnson & Johnson, Research and Development, Milpitas, CA, USA.
Javier GonzalezJohnson & Johnson, Research and Development, Milpitas, CA, USA.
Joseph R FreeJohnson & Johnson, Research and Development, Milpitas, CA, USA.
Sofie Van HoeckeIDLab-imec, Faculty of Engineering and Architecture, Ghent University, Ghent, Belgium.
Wendell ScottDepartment of Ophthalmology, Mercy Clinic, Springfield, MO, USA.
Shachar TauberDepartment of Ophthalmology, Mercy Clinic, Springfield, MO, USA.
H Burkhard DickDepartment of Ophthalmology, Ruhr University Eye Hospital, Bochum, Germany.
Charles ScalesJohnson & Johnson, Research and Development, Milpitas, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to introduce and evaluate the femtosecond laser enhanced refractive outcome (FLERO) prediction method, an intraocular lens (IOL) calculator that augments Barrett Universal II (BUII) by integrating novel anterior segment optical coherence tomography (OCT) biometric predictors obtained during femtosecond laser-assisted cataract surgery (FLACS). Methods: Two thousand, three hundred sixty-three (2363) eyes of 1720 patients (mean age = 71.33 years, 60.26% women) undergoing FLACS were analyzed. FLERO was developed by selecting the most predictive subset of OCT-derived biometry features using a "genetic algorithm" and combining them with BUII predictions in a linear model. Internal validation was performed through cross-validation, and prediction errors (PEs) were compared with BUII and Kane errors. Results: Compared to BUII, FLERO increased the proportion of eyes achieving postoperative refraction within ±0.25 diopter (D), ±0.50 D, and ±1.00 D of target from 0.470 to 0.507, 0.781 to 0.824, and 0.962 to 0.970, respectively. Mean absolute error decreased from 0.345 D for BUII and 0.338 D for Kane to 0.315 D for FLERO. FLERO outperformed BUII and Kane across (short, medium, and long) eyes, where proportions of eyes achieving refraction within ±0.50 D were 0.696, 0.831, and 0.782 for FLERO, 0.468, 0.796, and 0.718 for BUII, and 0.595, 0.798, and 0.718 for Kane. Wilcoxon Signed-Rank testing indicated significant reductions in absolute PEs for FLERO versus BUII and Kane (P < 0.0001). PE regression revealed FLERO made significantly smaller errors. Conclusions: FLERO enhances BUII by incorporating novel OCT-derived FLACS biometric parameters across short, medium, and long eyes. Translational Relevance: FLERO combines advanced FLACS-derived intraoperative biometry with established IOL formulae to refine refractive outcome prediction.

Indexed as

Cataract ExtractionLaser TherapyLenses, IntraocularLens Implantation, IntraocularRefraction, OcularAgedAged, 80 and overBiometryFemaleHumansMaleMiddle AgedTomography, Optical CoherenceVisual Acuity

Identifiers

PMID41235860
PMCPMC12629128

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.