Surgical correction of unilateral entropion in a Syrian hamster
Bibliographic record
Abstract
ABSTRACT Background This case report describes the diagnosis, medical management, and surgical correction of congenital entropion with secondary trichiasis, blepharitis, and conjunctivitis in a 3-month-old male Syrian hamster ( Mesocricetus auratus ). Case description The patient presented with chronic left ocular discharge and eyelid inflammation that persisted despite medical therapy, including topical and systemic antibiotics, anti-inflammatory medications, and environmental modifications. A sedated ocular examination confirmed entropion and trichiasis, which were deemed the primary causes of ongoing ocular irritation. Surgical intervention, utilizing a modified Hotz-Celsus technique, was performed to correct the anatomical defect. Postoperative recovery was uneventful, with resolution of clinical signs and no recurrence observed during follow-up. Conclusions and case relevance Based on the literature search described below, this is the first reported case of surgical entropion correction in a Syrian hamster. The case highlights the challenges of diagnosing and managing ophthalmic conditions in small rodents, including limitations in ophthalmic examination, the importance of husbandry modifications, and the risks associated with anesthesia in these species. This report underscores the feasibility of surgical intervention in hamsters when medical management fails and provides insights into the multifactorial etiology of ocular disease in this species. Further research is needed to evaluate long-term outcomes and refine treatment protocols for ophthalmic conditions in hamsters.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".