Evidence map›Paper›PMID 40350508›Full record

ReviewEye and vision (London, England)2025

Early diagnosis of keratoconus using corneal biomechanics and OCT derived technologies.

Xiaorui Wang, Sayo Maeno, Yixin Wang, Shizuka Koh, Shihao Chen, Andrew J Quantock, Siân R Morgan, Sally Hayes, Colm McAlinden

Abstract readReview
In one paragraph

Review in Eye and vision (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

9 authors.

Xiaorui WangStructural Biophysics Group, School of Optometry and Vision Sciences, Cardiff University, Cardiff, Wales, UK.
Sayo MaenoDepartment of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Yixin WangStructural Biophysics Group, School of Optometry and Vision Sciences, Cardiff University, Cardiff, Wales, UK.
Shizuka KohDepartment of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Shihao ChenWenzhou Medical University, Wenzhou, China.
Andrew J QuantockStructural Biophysics Group, School of Optometry and Vision Sciences, Cardiff University, Cardiff, Wales, UK.
Siân R MorganStructural Biophysics Group, School of Optometry and Vision Sciences, Cardiff University, Cardiff, Wales, UK.
Sally HayesStructural Biophysics Group, School of Optometry and Vision Sciences, Cardiff University, Cardiff, Wales, UK.
Colm McAlindenWenzhou Medical University, Wenzhou, China. colm.mcalinden@gmail.com.ORCID http://orcid.org/0000-0002-4517-4616

Funding

Medical Research Council MR/S037829/1Social Science Foundation of Shaanxi Province 2022SF-404
6 · The paper itself

Abstract

backgroundEarly detection of keratoconus is essential for maximizing the potential of cross-linking treatments designed to halt keratoconus progression, minimizing the risks of iatrogenic ectasia as well as reducing the need for corneal transplantation. This review focuses on the progress that has been made in the early detection of keratoconus using biomechanical and topographical properties derived from three different technologies, namely the ocular response analyser (ORA), corneal visualization Scheimpflug tonometer (Corvis ST) and optical coherence tomography (OCT).

methodA PubMed search was performed using the keywords of 'early keratoconus', 'subclinical keratoconus', 'forme fruste keratoconus', 'very asymmetric ectasia with normal topography/tomography' and 'ocular response analyser' and/or 'Corvis ST'/'corneal visualized Scheimpflug tomographer/tomography' and/or 'optical coherence tomography/tomographer'.

resultsThe integration of biomechanical parameters and corneal morphological data from the topography/tomography or OCT, or the assessment of bilateral asymmetry, has demonstrated improvement in the accuracy of diagnosing early-stage keratoconus.

conclusionsAs measurement principles differ depending on the technique used for keratoconus assessment, comprehensive metrics may be needed to reflect subtle anterior or posterior corneal changes and help identify eyes with very early ectasia. Although clinical experts have always, and will most likely, continue to play a pivotal role in decision-making for early keratoconus diagnosis, future developments in technology and AI may lead to enhanced early detection in the future.

Indexed as

Corneal biomechanicsCorneal tomographyCorneal topographyEarly stageKeratoconusOCT

Identifiers

PMID40350508
PMCPMC12067920

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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.