Will Aglepriston treatment in a dog affect its hormonal status throughout life?
Bibliographic record
Abstract
In this case, pre/postoperatively clinical and laboratory findings at the case of swelling of a long time mammary glands in 22 month old Labrador Retriever breed bitch were presented Veterinary Faculty Animal Hospital. In the anamnesis, it was learned that the size of the mammary glands although it has been four months since oestrus symptoms and that aglepriston was used to stay pregnant and terminate the pregnancy in the previous oestrus. Physical examination revealed that the mammary glands were hyperplasic from cranial to caudal and increased to normal. Palpation showed that the mammary glands had a soft consistency and milk came from the mammary gland. Mammary gland ultrasonography and lung radiography showed no pathological condition. Blood serum prolactin and progesterone measurements were recorded. According to the clinical and laboratory findings; it was diagnosed as pseudopregnancy and treated with cabergoline and daisy tea. Repeated enlargements of the mammary gland were observed in the same manner and durations during the sexual cycle follow-ups performed for one year. No macroscopic mass or adverse condition was observed in mammary glands during treatment and follow-up. In conclusion, aglepriston, one of the exogenous agents used to terminate pregnancy at an early age before complete sitting of hormonal development; Dogs caused irregularities in their sexual cycles throughout their lives, suggesting that suspected hormonal balance may predispose to various disorders in the future.
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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 | 0.000 |
| 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 | 0.001 | 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".