Structural and functional outcomes of anaesthetic cornea in children
Bibliographic record
Abstract
AIM: To present visual and structural outcomes from the largest series to date of children with absent corneal sensation, and contribute recommendations for management. METHODS: A two-centre retrospective cohort of 33 eyes of 26 children was studied. Data regarding cause of corneal anaesthesia (CA), visual acuity (VA), complications and management were recorded. RESULTS: The most common underlying causes of CA were posterior fossa tumours (8), CA with somitic abnormalities (5), cerebellar hypoplasia (3), severe head trauma (3) and isolated CA (3). Median follow-up was 36½ months. Coexisting facial palsy was prevalent with 18 patients (69%) being affected. At final follow-up, 4/27 eyes (15%) with VA measures had VA 0.3 logMAR or better; 15/27 (56%) had VA 0.3-1.0 logMAR; and 8/27 (30%) had VA worse than 1.0 logMAR. Seven of eight eyes with final VA worse than 1.0 logMAR had coexisting facial palsy. Only one of these eyes with facial palsy had a permanent tarsorrhaphy before VA fell below 1.0 logMAR. Also, of the nine eyes with facial palsy and a best-recorded VA better than 1.0 logMAR at final follow-up, five had a permanent tarsorrhaphy. Corneal scarring was present in 24/33 (73%) of eyes by final follow-up. 15/33 (45%) had at least one episode of microbial keratitis. The first presentation was with this complication in 9/26 (35%) children. DISCUSSION: CA in children is a vision-threatening problem, which has a particularly poor prognosis when associated with facial nerve palsy. Earlier tarsorrhaphy should be considered to help preserve vision in eyes with CA and coexisting facial palsy.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".