Evidence map›Paper›PMID 37842327›Full record

ArticleJournal of ophthalmology2023

Diagnostic Accuracy of Corneal and Epithelial Thickness Map Parameters to Detect Keratoconus and Suspect Keratoconus.

Abdelrahman Salman, Cosimo Mazzotta, Obeda Kailani, Marwan Ghabra, Rana Omran, Ashraf Armia Balamoun, Taym Darwish, Rafea Shaaban, Hala Alhaji

Open access · goldAbstract read
In one paragraph

Article in Journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 6 institutions in 5 countries.

Abdelrahman SalmanDepartment of Ophthalmology, Tishreen University, Latakia, Syria.ORCID https://orcid.org/0000-0002-1042-8153
Cosimo MazzottaDepartmental Ophthalmology Unit, AUSL Toscana Sudest, Siena, Italy.ORCID https://orcid.org/0000-0002-1829-9288
Obeda KailaniFaculty of Life Sciences and Medicine, King's College London, London, UK.ORCID https://orcid.org/0000-0002-6623-1720
Marwan GhabraWhipps Cross University Hospital, Leytonstone, London, UK.ORCID https://orcid.org/0000-0002-5488-9189
Rana OmranEye Surgical Hospital, Damascus, Syria.ORCID https://orcid.org/0009-0004-8927-3511
Ashraf Armia BalamounWatany Eye Hospital (WEH), Cairo, Egypt.ORCID https://orcid.org/0000-0003-0679-9688
Taym DarwishDepartment of Ophthalmology, Tishreen University, Latakia, Syria.ORCID https://orcid.org/0000-0002-0784-3698
Rafea ShaabanTartous University, Tartous, Syria.ORCID https://orcid.org/0000-0003-2142-2037
Hala AlhajiDepartment of Ophthalmology, Tishreen University, Latakia, Syria.ORCID https://orcid.org/0009-0009-3801-9683
Latakia University · SYDamascus Hospital · SYKing's College London · GBResearch Institute of Ophthalmology · EGUniversity of Siena · ITWhipps Cross University Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To establish the diagnostic accuracy of corneal and epithelial thickness measurements obtained by spectral-domain optical coherence tomography (SD-OCT) in detecting keratoconus (KC) and suspect keratoconus (SKC). Methods: This retrospective study reviewed the data of 144 eyes separated into three groups by the Sirius automated corneal classification software: normal (N) ( Results: ROC curve analysis revealed excellent predictive ability for ET variables: minimum (Min) ET (0_2), minimum-maximum (Min-Max) ET (0_2), superonasal-inferotemporal (SN-IT) ET (2_5), Min-Max ET (2_5), and Min ET (2_5) to detect keratoconus (AUC > 0.9, all). Min-Max CT (0_2) was the only CT parameter with excellent ability to discriminate between KC and N eyes (AUC = 0.94; cutoff = ≤-32 Conclusion: These results demonstrate that OCT-derived CT and ET are able to differentiate between KC and N eyes, with a high level of certainty. However, Min-Max ET (2_5) was the parameter with the highest ability to detect suspect keratoconus.

Identifiers

PMID37842327
PMCPMC10575749
OpenAlexW4387409978

What OpenQuestion holds

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LicenceCC BY
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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.