Evidence map›Paper›PMID 39863707›Full record

ArticleEye (London, England)2025

Assessment of corneal vessels activity through the 'Barcode sign' of corneal OCT.

Farida Omar Elzawahry, Prity Sahay, Dalia Said, Harminder Singh Dua

Abstract read
In one paragraph

Article in Eye (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
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

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

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

4 authors.

Farida Omar ElzawahryDivision of Clinical Neuroscience, Department of Ophthalmology, University of Nottingham, Nottingham, UK.
Prity SahayDivision of Clinical Neuroscience, Department of Ophthalmology, University of Nottingham, Nottingham, UK.ORCID http://orcid.org/0000-0003-4574-8437
Dalia SaidDivision of Clinical Neuroscience, Department of Ophthalmology, University of Nottingham, Nottingham, UK.
Harminder Singh DuaDivision of Clinical Neuroscience, Department of Ophthalmology, University of Nottingham, Nottingham, UK. harminder.dua@nottingham.ac.uk.ORCID http://orcid.org/0000-0002-4683-6917

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesAnterior segment optical Coherence Tomography (AS-OCT) is used extensively in imaging the cornea in health and disease. Our objective was to analyse and monitor corneal vascularisation (CVas) through the corresponding back-shadows visible on AS-OCT. SUBJECTS/

methodsAS-OCT scans were obtained from 26 consecutive patients (eyes) with CVas of different aetiologies. AS-OCT horizontal line scans showing the back shadows cast by the vessels were analysed and correlated with findings seen on slit lamp examination. Vessels were graded clinically as active, partially regressed, and regressed. The density of back shadow in the patient samples before and after treatment was analysed using Image-J software.

resultsAS-OCT demonstrated a dense back shadow in all the 26 active vessels studied. When multiple vessels were present, the barcode sign was apparent. The back shadows absent in 22 (84.62%) at the regressed (healed) stage. The intensity of the backshadow had reduced in regressing vessels 4 (15.38%). The integrated density of the backshadow on AS-OCT in the active stage (pre-treatment) and corresponding healed (post-treatment, partially regressed or ghost vessels) scans was statistically significantly different (P < 0.0001).

conclusionThis study demonstrates that AS-OCT provides additional important information in patients with CVas enabling distinction between active and regressing/regressed vessels. Semiquantitative assessment can be made by measuring the integrated density of the back shadows produced by the vessels.

Indexed as

CorneaCorneal NeovascularizationTomography, Optical CoherenceAdultAgedAged, 80 and overFemaleHumansMaleMiddle Aged

Identifiers

PMID39863707
PMCPMC12043972

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