Corneal and anterior segment foreign body trauma in dogs: a review of 218 cases
Bibliographic record
Abstract
OBJECTIVES: To review clinical data on dogs that suffered a corneal and anterior segment foreign body (CASFB) trauma and to determine the risk factors for foreign body (FB) trauma and subsequent enucleation. ANIMALS STUDIED: Dogs with CASFB presented to the Animal Health Trust (AHT) from January 2000 to December 2012. PROCEDURES: Clinical data for CASFB cases were compared to those available for the remaining AHT ophthalmic population over the same period. The depth of the FB trauma was divided into five categories. The type of FB and method of removal were described for each category. The degree of secondary uveitis and lens involvement was graded and correlated with subsequent enucleation. RESULTS: The mean age (standard deviation) of 218 identified CASFB cases was 3.96 (2.95) years. Risk factors for CASFB trauma were dogs younger than 5 years, English Springer Spaniels, Labrador Retrievers, and working dogs. Most dogs required general anesthesia for FB removal, and hypodermic needles were the most commonly used instrument. The lens was involved in some cases with a full-thickness CASFB trauma (n = 49, 45%), but most suffered a minor lens trauma (n = 37, 76%). The lens trauma and phacoclastic uveitis were managed medically in most dogs (n = 37, 76%), and phacoemulsification was only elected as initial treatment in some dogs (n = 10, 20%). Enucleation was required overall in 6% of dogs. Statistically significant associations were found between enucleation and depth of FB trauma, degree of uveitis, and severity of lens trauma (P < 0.001). CONCLUSIONS: Young dogs, English Springer Spaniels, Labrador Retrievers, and working dogs had an increased risk of CASFB trauma. Risk factors for enucleation were full-thickness FB penetration, severe lens trauma, and severe uveitis.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".