Evidence map›Paper›PMID 39392436›Full record

ArticleTranslational vision science & technology2024

Impact of the Minimization of Standard Deviation Before Zeroization of the Mean Bias on the Performance of IOL Power Formulas.

Damien Gatinel, Guillaume Debellemanière, Alain Saad, Luis F Brenner, Mathieu Gauvin, Avi Wallerstein, Jacques Malet

Abstract read
In one paragraph

Article in Translational vision science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

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

7 authors.

Damien GatinelAnterior Segment and Refractive Surgery Department, Rothschild Foundation Hospital, Paris, France.
Guillaume DebellemanièreAnterior Segment and Refractive Surgery Department, Rothschild Foundation Hospital, Paris, France.
Alain SaadAnterior Segment and Refractive Surgery Department, Rothschild Foundation Hospital, Paris, France.
Luis F BrennerMemira Eye Center, Oslo, Norway.
Mathieu GauvinDepartment of Ophthalmology and Visual Sciences, McGill University, Montreal, Quebec, Canada.
Avi WallersteinDepartment of Ophthalmology and Visual Sciences, McGill University, Montreal, Quebec, Canada.
Jacques MaletAnterior Segment and Refractive Surgery Department, Rothschild Foundation Hospital, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: In cataract surgery, accurate intraocular lens (IOL) power calculations are crucial for optimal postoperative refractive outcomes. This study explores the impact of prioritizing the reduction of the standard deviation (SD) of prediction errors before mean prediction error (PE) adjustment on IOL calculation formula precision and accuracy. Methods: We conducted a retrospective analysis of 4885 eyes from 2611 patients, all implanted with the same IOL model, comparing four traditional IOL power calculation formulas: SRK/T, Holladay 1, Haigis, and Hoffer Q. We introduced new constants aiming to minimize the SD of PE (new_const) against traditionally optimized constants (classic_const), using a heteroscedastic statistical method for comparison. Validation of precision improvements used a secondary dataset of 262 eyes from 132 patients. Results: We observed significant reductions in mean absolute error (MAE) across training and test sets for Hoffer Q, Holladay, and Haigis formulas, indicating accuracy enhancements. Optimized constants significantly reduced SDs for Haigis from 0.3255 to 0.3153 and for Hoffer Q from 0.3521 to 0.3387. These optimizations also increased the proportion of eyes achieving PE within ±0.25 D. SRK/T showed improved SD from 0.3596 to 0.3585. However, Holladay 1 showed minimal change with no significant improvement. In the test dataset, significant reductions in SD were observed for Haigis and Hoffer Q. Conclusions: Prioritizing SD minimization before adjusting mean PE significantly improves the precision of selected IOL power formulas, enhancing postoperative refractive outcomes. The effectiveness varies among formulas, underscoring the need for formula-specific adjustments. Translational Relevance: The study presents a novel two-step approach for optimizing IOL power calculations.

Indexed as

Lenses, IntraocularOptics and PhotonicsRefraction, OcularAgedBiometryCataract ExtractionFemaleHumansLens Implantation, IntraocularMaleMiddle AgedPhacoemulsificationRetrospective StudiesVisual Acuity

Identifiers

PMID39392436
PMCPMC11472891

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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 OpenQuestion graph.