Evidence map›Paper›PMID 40057010›Full record

ArticleAmerican journal of ophthalmology2025

Epithelial Mapping Efficacy for Subclinical Keratoconus Identification.

Barbara A L Dutra, Bassel Hammoud, Bianca N Susanna, Lara Asroui, Giuliano Scarcelli, William J Dupps, J Bradley Randleman

Abstract read
In one paragraph

Article in American journal of ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Trends in the Management of Keratoconus in Australia.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

7 authors.

Barbara A L DutraFrom the Cleveland Clinic (B.A.D., B.H., B.N.S., L.A., W.J.D., J.B.R.), Cole Eye Institute, Cleveland, Ohio, USA; Department of Ophthalmology (B.A.D., B.N.S.), University of Sao Paulo, Sao Paulo, Brazil.
Bassel HammoudFrom the Cleveland Clinic (B.A.D., B.H., B.N.S., L.A., W.J.D., J.B.R.), Cole Eye Institute, Cleveland, Ohio, USA.
Bianca N SusannaFrom the Cleveland Clinic (B.A.D., B.H., B.N.S., L.A., W.J.D., J.B.R.), Cole Eye Institute, Cleveland, Ohio, USA; Department of Ophthalmology (B.A.D., B.N.S.), University of Sao Paulo, Sao Paulo, Brazil; Sorocaba Eye Hospital (B.N.S.), Sorocaba, Brazil.
Lara AsrouiFrom the Cleveland Clinic (B.A.D., B.H., B.N.S., L.A., W.J.D., J.B.R.), Cole Eye Institute, Cleveland, Ohio, USA.
Giuliano ScarcelliFischell Department of Bioengineering (G.S.), University of Maryland, College Park, Maryland, USA.
William J DuppsFrom the Cleveland Clinic (B.A.D., B.H., B.N.S., L.A., W.J.D., J.B.R.), Cole Eye Institute, Cleveland, Ohio, USA; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University (W.J.D., J.B.R.), Cleveland, Ohio, USA; Department of Biomedical Engineering (W.J.D.), Case Western Reserve University, Cleveland, Ohio, USA.
J Bradley RandlemanFrom the Cleveland Clinic (B.A.D., B.H., B.N.S., L.A., W.J.D., J.B.R.), Cole Eye Institute, Cleveland, Ohio, USA; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University (W.J.D., J.B.R.), Cleveland, Ohio, USA. Electronic address: randlej@ccf.org.

Funding

Cornea biomechanical analysis with Brillouin microscopyR01EY028666 · NEI · UNIV OF MARYLAND, COLLEGE PARK · PI James Bradley Randleman, Giuliano Scarcelli · 2018 to 2026
$4.1M
Determining the Efficacy of Corneal Cross-Linking Protocols using Brillouin MicroscopyR01EY032537 · NEI · CLEVELAND CLINIC LERNER COM-CWRU · PI DUPPS, WILLIAM JOSEPH, RANDLEMAN, JAMES BRADLEY · 2022 to 2025
$1.6M
NEI NIH HHS R01 EY028666NEI NIH HHS R01 EY032537
6 · The paper itself

Abstract

purposeTo evaluate the utility of automated epithelial thickness metrics to identify subclinical keratoconus (SKC) through epithelial thickness pattern comparisons between normal controls, (SKC), and manifest keratoconus (KC).

designRetrospective cross-sectional study.

methodsThere were 200 eyes from 200 patients evaluated, including: (1) 100 control eyes from 100 patients with bilaterally normal corneal topography/tomography and slit-lamp examination (controls); (2) 50 eyes from 50 patients with SKC; (3) 50 eyes from 50 patients with KC. Epithelial mapping was performed using anterior segment optical coherence tomography (AS-OCT) imaging (Avanti RTVue XR, Optovue). Area under the receiver operating characteristic (AUROC) curves were used to determine the overall discriminative accuracy of the significant test parameters as described by the area under the curve (AUC) and to calculate the sensitivity and specificity of each parameter.

resultsThere were no differences between control and SKC groups in any regional OCT epithelial thickness parameter. Among relational epithelial thickness metrics, only superonasal - inferotemporal (SN-IT) value differences reached statistical significance between control and SKC groups (-0.81 μm versus 0.41 μm), but this metric still showed limited performance in differentiating groups (AUROC = 0.68). Most stromal thickness values were significantly different between SKC and controls.

conclusionEpithelial thickness patterns were not effective as a primary metric to identify subclinical keratoconus. Scheimpflug metrics and regional stromal thickness values significantly outperformed epithelial metrics in differentiating both SKC and KC eyes from controls. Epithelial mapping metrics thus appear significantly less sensitive than predicted for subclinical keratoconus detection in early disease manifestations.

Indexed as

Epithelium, CornealKeratoconusTomography, Optical CoherenceAdolescentAdultArea Under CurveCorneal TopographyCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesROC CurveSensitivity and SpecificityYoung Adult

Identifiers

PMID40057010
PMCPMC13198015

What OpenQuestion holds

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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.