A Retrospective Study of Canine Primary Glaucoma (2011-2020)
Bibliographic record
Abstract
To determine the prevalence of breed, age, and sex of canine primary glaucoma by comparing previous reports in Korea. We included the medical records of dogs diagnosed with primary glaucoma who visited the veterinary medical teaching hospital of Seoul National University (SNU) from January 2011 to December 2020 and investigated their breed, age, and sex. All the patients underwent a full ophthalmic examination. We analyzed the results using a binary logistic regression analysis based on the Jindo dog, which was close to the mean value of the primary glaucoma incidence rate. Of the 14,587 dogs treated at the veterinary medical teaching hospital of SNU, 107 (0.73%) were diagnosed with primary glaucoma. Glaucoma occurred in 14 breeds, including the American Cocker Spaniel, Shih Tzu, Maltese, Pomeranian, Jindo dog, Mixed Breed, Pekinese, Toy Poodle, Samoyed, Shiba Inu, Miniature Pinscher, Boston Terrier, Labrador retriever, and Yorkshire Terrier. The mean age of onset of primary glaucoma was 7.8 2.3 years. Primary glaucoma was observed in 53 spayed females, 11 females, 38 castrated males, and five males. Regardless of neutralization, the ratio of females to males was 1.5:1. This study showed that primary glaucoma was significantly higher in American Cocker Spaniels and higher in Shih Tzus than other breeds in Korea; they had the highest incidence of primary glaucoma at 7 and 8 years of age, respectively. Therefore, the two breeds should be carefully monitored for the occurrence of primary glaucoma when they approach 7 years of age.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".