MétaCan
Menu
Back to cohort
Record W4408065757 · doi:10.4103/pajo.pajo_3_25

Histopathological characteristics of keratoconus

2025· article· en· W4408065757 on OpenAlexaffabout
Massimo Mazza, Sabrina Bergeron, Devinder Cheema, Jacqueline Coblentz, Anne Xuan-Lan Nguyen, Ana Beatriz Toledo Dias, Angela Fajardo Palomino, Miguel N. Burnier

Bibliographic record

VenueThe Pan-American Journal of Ophthalmology · 2025
Typearticle
Languageen
FieldMedicine
TopicCorneal surgery and disorders
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsKeratoconusOphthalmologyOptometryMedicineCornea

Abstract

fetched live from OpenAlex

Abstract Purpose: Keratoconus (KC) is a bilateral and asymmetrical corneal ectasia that affects vision. In this study, we performed a histopathological analysis of 150 cases of KC, to document and catalogue the primary morphological features of cornea with KC. Subjects and Methods: The corneas were obtained from penetrating keratoplasties at the MUHC – McGill University Ocular Pathology & Translational Research Laboratory in Montreal, Quebec, Canada. Information was obtained for age and sex at time of surgery. Results: The histopathological characteristics were breaks in Bowman’s layer in 91% ( n = 136), epithelial thinning in 87% ( n = 130), compaction of the stromal fibers in 65% ( n = 97), folds in Descemet’s membrane in 63% ( n = 94), endothelial cell loss in 31% ( n = 47), deep stromal scarring in 30% ( n = 45), epithelial scarring in 29% ( n = 44), superficial iron deposition in 27% ( n = 40), and breaks in Descemet’s membrane in 18% ( n = 27). Conclusion: These results further suggest that changes in the superficial layers, such as the epithelium and Bowman’s layer, precede stromal involvement. These results also confirmed previous data from a published study conducted in 2008.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.306
Teacher spread0.289 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueThe Pan-American Journal of OphthalmologySame topicCorneal surgery and disordersFrench-language works237,207