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Record W4403021208 · doi:10.1097/icl.0000000000001131

Corneal Epithelial Hyperplasia Related to Chronic Eye Rubbing Mimicking Keratoconus

2024· article· en· W4403021208 on OpenAlexaff
André S. Pollmann, Mark S. Cohen, Samir Jabbour

Bibliographic record

VenueEye & Contact Lens Science & Clinical Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicCorneal surgery and disorders
Canadian institutionsMcGill UniversityCentre Hospitalier de l’Université de MontréalSherbrooke O.E.M (Canada)Université de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsEctasiaKeratoconusMedicineRubbingOphthalmologyCorneaCorneal topographyAstigmatismSurgeryOptics

Abstract

fetched live from OpenAlex

ABSTRACT: We report a case of corneal epithelial hyperplasia associated with chronic eye rubbing mimicking keratoconus. A 32-year-old man was presented with a 3-year history of suboptimal vision and astigmatism in his left eye. His history was significant for chronic left eye rubbing. The anterior corneal curvature map showed inferior steepening in the left eye; however, other features of ectasia were absent. Corneal epithelium thickness mapping with optical coherence tomography was significant for corresponding epithelial thickening. His corneal imaging remained stable at a 6-month follow-up examination. At month 15-and after cessation of eye rubbing behavior-the vision symptoms, refraction, and corneal imaging had normalized. In conclusion, chronic eye rubbing may cause reversible corneal epithelial hypertrophy. Eye rubbing should be considered in the evaluation of patients presenting with unexplained vision symptoms and changes in astigmatism that are not consistent with ectasia on corneal imaging.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.417
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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