Evidence map›Paper›PMID 39812227›Full record

ArticleOphthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)2025

Refractive error maps: A predictive tool for refractive error progression.

Fabian Debowy, Barbara Pierscionek

Abstract read
In one paragraph

Article in Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Refractive error maps: A predictive tool for refractive error progression.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
    Article
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

2 authors.

Fabian DebowyFaculty of Health, Medicine and Social Care, Medical Technology Research Centre, Anglia Ruskin University, Chelmsford, UK.
Barbara PierscionekFaculty of Health, Medicine and Social Care, Medical Technology Research Centre, Anglia Ruskin University, Chelmsford, UK.ORCID 0000-0002-8661-6353

Funding

European Union MSCA-ITN-ETN programme 956720
6 · The paper itself

Abstract

purposeTo investigate the influence of axial length on different ocular parameters and create a predictive tool for refractive error progression.

methodsTwo eye models were used to simulate refractive errors, namely the Liou-Brennan and the Goncharov-Dainty. Both models were simulated using Zemax OpticStudio. Simulations were made by varying axial length and central corneal radii of curvature, with values ranging from 21.5 to 28.5 mm and 7.0 to 8.5 mm, respectively. Additionally, simulations of different lens parameters were included.

resultsRefractive error maps were produced for different ethnicities and a comparison with experimental results was undertaken. These showed the relationships between axial length and crystalline lens thickness, refractive index and curvatures of the cornea and lens.

conclusionsThe concept of refractive error maps may provide more insight into the refractive state of individuals and groups with provision for a comparative analysis. With further experimental data added, such refractive error maps could be used as a predictive tool.

Indexed as

Axial Length, EyeModels, BiologicalRefraction, OcularRefractive ErrorsComputer SimulationCorneaDisease ProgressionHumansLens, Crystallinehuman eyeoptical eye modelsrefractive errors

Identifiers

PMID39812227
PMCPMC11823400

What OpenQuestion holds

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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.