Limbal stem cell failure secondary to advanced conjunctival squamous cell carcinoma: a clinicopathological case report
Bibliographic record
Abstract
A 67-year-old man with a history of multiple myeloma (treated with chemotherapy) was referred with a left hyperaemic conjunctival lesion covering almost 360° of the limbus and extending onto the corneal surface. Conjunctival biopsy revealed conjunctival intraepithelial neoplasia. Initial treatment consisted of topical and intralesional injections of interferon α-2b. The patient subsequently developed limbal stem cell deficiency resulting in a persistent non-healing corneal epithelial defect. This was successfully managed with total excisional biopsy of the lesion, combined with limbal stem cell autograft (from the fellow eye) and amniotic membrane transplantation. Histopathology revealed a conjunctival squamous cell carcinoma. The corneal epithelium completely healed postoperatively and there is no evidence of tumour recurrence at 1 year follow-up. This case highlights a rare case of advanced ocular surface neoplasia causing secondary limbal stem cell deficiency. Medical and surgical management of ocular surface neoplasia with limbal stem cell transplantation is effective in treating such cases.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".