Evidence map›Paper›PMID 37930666›Full record

ArticleTranslational vision science & technology2023

Impact of Single Constant Optimization on the Precision of IOL Power Calculation.

Damien Gatinel, Guillaume Debellemanière, Alain Saad, Avi Wallerstein, Mathieu Gauvin, Radhika Rampat, Jacques Malet

Abstract read
In one paragraph

Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

6 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.
Avi WallersteinDepartment of Ophthalmology and Visual Sciences, McGill University, Montreal, QC, Canada.
Mathieu GauvinDepartment of Ophthalmology and Visual Sciences, McGill University, Montreal, QC, Canada.
Radhika RampatAnterior Segment and Refractive Surgery Department, Rothschild Foundation Hospital, Paris, France.
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: The primary objective of this research is to examine how precision in intraocular lens calculation formulas can be impacted by zeroing the mean error through adjustments in the effective lens position value. Additionally, the study aims to evaluate how this modification influences outcomes differently based on the source of the prediction error. Methods: In order to analyze the impact of individual variables on the standard deviation, the study maintained all variables constant except for one at a time. Subsequently, variations were introduced to specific parameters, such as corneal curvature radius, keratometric refractive index, axial length, and predicted implant position. Results: According to our findings, when zeroing the mean error is applied to correct for inaccuracies in corneal power estimation, it results in a significant and exponential rise in standard deviation, thus adversely affecting the formula's precision. However, when zeroing is employed to compensate for prediction errors stemming from axial length measurements or predicted implant position, the effect on precision is minimal or potentially beneficial. Conclusions: The study highlights the potential risks associated with the indiscriminate but necessary zeroing of prediction errors in implant power calculation formulas. The impact on formula precision greatly depends on the source of the error, underscoring the importance of error source when analyzing variations in the standard deviation of the prediction error after zeroing. Translational Relevance: Our study contributes to the ongoing effort to enhance the accuracy and reliability of these formulas, thereby improving the surgical outcomes for cataract patients.

Indexed as

CataractLenses, IntraocularCorneaHumansReproducibility of Results

Identifiers

PMID37930666
PMCPMC10629535

What OpenQuestion holds

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Registered trials

None linked

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.