Evidence map›Paper›PMID 32678352›Full record

ReviewEye (London, England)2021

A review of imaging modalities for detecting early keratoconus.

Xuemin Zhang, Saleha Z Munir, Syed A Sami Karim, Wuqaas M Munir

Open access · bronzeAbstract readReview
In one paragraph

Review in Eye (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.2field-weighted citation impact, top 6% 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

37 citing papers in PubMed, 59 citations in OpenAlex.

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  19. Artificial intelligence in corneal diseases: A narrative review.Contact lens & anterior eye : the journal of the British Contact Lens Association · 2024
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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 at 1 institution in 1 country.

Xuemin ZhangDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Saleha Z MunirDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-6010-9513
Syed A Sami KarimDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Wuqaas M MunirDepartment of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, MD, USA. wmunir@som.umaryland.edu.ORCID http://orcid.org/0000-0001-8070-6668
University of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEarly identification of keratoconus is imperative for preventing iatrogenic corneal ectasia and allowing for early corneal collagen cross-linking treatments to potentially halt progression and decrease transplant burden. However, early diagnosis of keratoconus is currently a diagnostic challenge as there is no uniform screening criteria. We performed a review of the current literature to assess imaging modalities that can be used to help identify subclinical keratoconus.

methodsA Pubmed database search was conducted. We included primary and empirical studies for evaluating different modalities of screening for subclinical keratoconus.

resultsA combination of multiple imaging tools, including corneal topography, tomography, Scheimpflug imaging, anterior segment optical coherence tomography, and in vivo confocal microscopy will allow for enhanced determination of subclinical keratoconus. In patients who are diagnostically borderline using a single screening criteria, use of additional imaging techniques can assist in diagnosis. Modalities that show promise but need further research include polarization-sensitive optical coherence tomography, Brillouin microscopy, and atomic force microscopy.

conclusionsRecognition of early keratoconus can reduce risk of post-refractive ectasia and reduce transplantation burden. Though there are no current uniform screening criterion, multiple imaging modalities have shown promise in assisting with the early detection of keratoconus.

Indexed as

KeratoconusCorneaCorneal TopographyDilatation, PathologicHumansTomography, Optical Coherence

Identifiers

PMID32678352
PMCPMC7853137
OpenAlexW3043211452

What OpenQuestion holds

Textmetadata
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.