MétaCan
Menu
Back to cohort
Record W2905748758 · doi:10.1097/ico.0000000000001849

Crystalline Keratopathy in Post-LASIK Ectasia: A Case Report

2018· review· en· W2905748758 on OpenAlexaff
Milad Modabber, Mahshad Darvish-Zargar, Léo Breton, Doug D. Chung, Huong Duong, Anthony J. Aldave, Johanna Choremis

Bibliographic record

VenueCornea · 2018
Typereview
Languageen
FieldMedicine
TopicCorneal surgery and disorders
Canadian institutionsUniversité de MontréalMcGill University
FundersNational Eye Institute
KeywordsMedicineLASIKEctasiaKeratomileusisOphthalmologyEtiologyBullous keratopathyAsymptomaticContact lensCorneaSurgeryPathology

Abstract

fetched live from OpenAlex

PURPOSE: To report an unusual case of bilateral crystalline keratopathy presenting several years after a laser in situ keratomileusis (LASIK) procedure. METHODS: Case report and review of the literature. RESULTS: A healthy 42-year-old woman with post-LASIK ectasia, treated with long-term corneoscleral contact lenses, developed new-onset crystalline keratopathy in both eyes. Anterior segment optical coherence tomography demonstrated bilaterally symmetric paracentral rings of hyperreflectivity, involving the LASIK corneal flaps. There was good clearance of the corneoscleral contact lenses with no corneal-lens touch in all quadrants. There was no evidence of infectious or systemic etiologies. Genetic testing for the UBIAD1 gene for Schnyder corneal dystrophy was negative. Continued clinical observations have exhibited progressive corneal crystalline deposition, yet the patient has remained visually asymptomatic. CONCLUSIONS: This is the first known reported case of significantly delayed progressive noninfectious crystalline keratopathy in post-LASIK ectasia. The pathophysiology of this condition remains elusive to date and highlights the challenges of noninvasive diagnostic techniques and yet the utility of molecular genetic analysis in elucidating the etiology of this unique clinical presentation.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.744
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.058
GPT teacher head0.356
Teacher spread0.298 · 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
GenreReview

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

Citations8
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueCorneaSame topicCorneal surgery and disordersFrench-language works237,207