Outcomes of Corneal Transplantation After Minimally Invasive Corneal Neurotization in Children
Bibliographic record
Abstract
PURPOSE: To describe the outcomes of corneal transplantation after minimally invasive corneal neurotization (MICN) in pediatric patients. METHODS: Medical records of all children who underwent corneal transplantation post-MICN with sural nerve graft for neurotrophic keratopathy between 2015 and 2021 were reviewed retrospectively. Data collected included demographic information, ocular comorbidities, maximum corneal sensitivity by Cochet-Bonnet aesthesiometer (CBA) preoperatively and postoperatively measured in the central graft area, graft survival (primary outcome), and rejection. RESULTS: Of 28 eyes which underwent MICN, six underwent corneal transplant surgery (mean age 11.9 ± 4.4 years) 2.4 ± 0.4 years after initial surgery. Mean maximum recorded CBA across all quadrants before corneal transplantation was 53.3 ± 9.4 mm. Reepithelialization was observed in all eyes by postoperative month 2. Mean follow-up was 4.5 ± 2.1 years. Penetrating keratoplasty was performed in 2 cases, and deep anterior keratoplasty in four cases. Graft survival at final follow-up was 83.3%. Mean recorded central CBA after corneal transplantation was 53.8 ± 8.2 mm. No improvement was observed in visual acuity from baseline (1.2 ± 0.4 logMAR) to final postoperative follow-up (1.1 ± 0.4 logMAR; P = 0.68). CONCLUSIONS: Corneal transplantation after corneal neurotization has survival rates >80%. Manual deep anterior keratoplasty can be performed in patients who have not undergone previous penetrating keratoplasty. Despite graft clarity, improvement in best-corrected visual acuity may be limited by amblyopia in this age group.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".