Sutureless dehydrated amniotic membrane for persistent epithelial defects
Bibliographic record
Abstract
Purpose: To report outcomes of a sutureless dehydrated amniotic membrane for persistent epithelial defects (PED). Methods: This retrospective study included consecutive patients with a PED (⩾14 days) treated with a sutureless dehydrated amniotic membrane and bandage contact lens (BCL). Included were patients with an epithelial defect that did not respond to treatment with a BCL. Excluded were patients with a follow-up time of less than 3 months. Results: Nine eyes of eight patients with a mean age of 54.6 ± 10.9 years (range 38–73 years) were included in this study. The main etiology of the PED was limbal stem cell deficiency ( n = 5/9) due to Stevens-Johnson Syndrome ( n = 2/5), glaucoma procedures ( n = 1/5), graft-versus-host disease ( n = 1/5) and severe allergic reaction ( n = 1/5). Additional etiologies included neurotrophic cornea ( n = 2/9), post keratoplasty and severe dry eye disease ( n = 2/9). Time from PED presentation to amnion treatment was 65.9 ± 60.6 days (range 15–189 days) with the area of the PED being 11.0 ± 12.2 mm 2 (range 1.0–36.0 mm 2 ). The amnion was absorbed within 2 weeks in 100% of the cases. Following insertion of the amnion, resolution of the PED was achieved in 8/9 eyes (89%) without the need for additional interventions within 17.8 ± 9.6 days (range 7–35 days). LogMAR BCVA improved from 0.94 ± 0.88 to 0.37 ± 0.25 ( p = 0.036) with no complications or recurrences recorded. Conclusions: Sutureless dehydrated amniotic membrane achieved resolution of PEDs secondary to various etiologies in 89% of eyes with a significant improvement in vision demonstrated. Further studies are needed to assess long term safety and effectiveness.
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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 | 0.001 |
| 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) | 0.001 | 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".