Evidence map›Paper›PMID 31348792›Full record

ArticlePloS one2019

Artefact-free topography based scleral-asymmetry.

Ahmed Abass, Bernardo T Lopes, Ashkan Eliasy, Marcella Salomao, Richard Wu, Lynn White, Steve Jones, John Clamp, Renato Ambrósio, Ahmed Elsheikh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

11 citing papers in PubMed, 20 citations in OpenAlex.

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  7. Fibril density reduction in keratoconic corneas.Journal of the Royal Society, Interface · 2021
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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

10 authors at 5 institutions in 5 countries.

Ahmed AbassSchool of Engineering, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-8622-4632
Bernardo T LopesSchool of Engineering, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-8489-3621
Ashkan EliasySchool of Engineering, University of Liverpool, Liverpool, United Kingdom.
Marcella SalomaoFederal University of São Paulo, São Paulo, Brazil.ORCID 0000-0001-8330-6432
Richard WuCentral Taiwan University of Science and Technology, Taichung, Taiwan.
Lynn WhiteUltraVision CLPL, Leighton Buzzard, United Kingdom.
Steve JonesSchool of Engineering, University of Liverpool, Liverpool, United Kingdom.
John ClampUltraVision CLPL, Leighton Buzzard, United Kingdom.
Renato AmbrósioFederal University of São Paulo, São Paulo, Brazil.
Ahmed ElsheikhSchool of Engineering, University of Liverpool, Liverpool, United Kingdom.
University of Liverpool · GBMoorfields Eye Hospital NHS Foundation Trust · GBPacific University Oregon · USUniversidade Federal de São Paulo · BRUniversidade Federal do Estado do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo present a three-dimensional non-parametric method for detecting scleral asymmetry using corneoscleral topography data that are free of edge-effect artefacts.

methodsThe study included 88 participants aged 23 to 65 years (37.7±9.7), 47 women and 41 men. The eye topography data were exported from the Eye Surface Profiler software in MATLAB binary data container format then processed by custom built MATLAB codes entirely independent from the profiler software. Scleral asymmetry was determined initially from the unprocessed topography before being determined again after removing the edge-effect noise. Topography data were levelled around the limbus, then edge-effect was eliminated using a robust statistical moving median technique. In addition to comparing raw elevation data, scleral elevation was also compared through fitting a sphere to every single scleral surface and determining the relative elevation from the best-fit sphere reference surface.

resultsWhen considering the averaged raw topography elevation data in the scleral section of the eye at radius 8 mm, the average raw elevations of the right eyes' sclera were -1.5±1.77, -1.87±2.12, -1.36±1.82 and -1.57±1.87 mm. In the left eyes at the same radius the average raw elevations were -1.62±1.78, -1.82±2.07, -1.28±1.76 and -1.68±1.93 mm. While, when considering the average raw elevation of the sclera after removing the edge effect, the average raw elevations of the right eyes were -3.71±0.25, -4.06±0.23, -3.95±0.19 and -3.95±0.23 mm. In the left eyes at the same radius the average raw elevations were -3.71±0.19, -3.97±0.22, -3.96±0.19 and -3.96±0.18 mm in the nasal, temporal, superior and inferior sides respectively. Maximum raw elevation asymmetry in the averaged scleral raw elevation was 1.6647±0.9015 mm in right eyes and 1.0358±0.6842 mm in left eyes, both detected at -38° to the nasal side. Best-fit sphere-based relative elevation showed that sclera is more elevated in three main meridians at angles -40°, 76°, and 170° in right eyes and -40°, 76°, and 170° in left eyes, all measured from the nasal meridian. Maximum recorded relative elevation asymmetries were 0.0844±0.0355 mm and 0.068±0.0607 mm at angular positions 76° and 63.5° for right and left eyes in turn.

conclusionsIt is not possible to use corneoscleral topography data to predict the scleral shape without considering a method of removing the edge-effect from the topography data. The nasal side of the sclera is higher than the temporal side, therefore, rotationally symmetric scleral contact lenses are more likely to be translated towards the temporal side. The scleral shape is best described by levelled raw elevation rather than relative elevation.

Indexed as

ArtifactsCorneal TopographyAdultAgedAlgorithmsFemaleHumansMaleMiddle AgedScleraYoung Adult

Identifiers

PMID31348792
PMCPMC6660081
OpenAlexW2966567791

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.