Topographic corneal changes in children with moderate to severe blepharokeratoconjunctivitis
Bibliographic record
Abstract
PURPOSE: To determine the corneal topographic characteristics of children with blepharokeratoconjunctivitis (BKC), a chronic inflammatory ocular surface disease involving the lid margin, conjunctiva, and cornea. METHODS: The corneal topography of 21 children diagnosed with BKC between March 2008 and June 2019 at a single institution were reviewed retrospectively. Pachymetry and asymmetry indices were also analyzed. RESULTS: >47.2 D and 31% had an inferior-superior asymmetry value >1.2 D. Using topography-derived indices comparing the superior and inferior corneal characteristics, the index of height decentration, index of surface variance, and index of vertical asymmetry were found to be abnormal in 83%, 69%, and 64% of cases, respectively. CONCLUSIONS: Children with moderate-to-severe BKC may present with significant topographic corneal changes that can mimic corneal ectasia. Corneal topography could be an important tool in evaluating corneal involvement and explaining reduced visual function due to refractive changes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".