Clinical characteristics, treatment, and outcome for cattle that developed retroperitoneal abscesses following paralumbar fossa laparotomy: 32 cases (1995–2017)
Bibliographic record
Abstract
OBJECTIVE: To describe the clinical and clinicopathologic characteristics, treatment, and outcome for cattle that developed a retroperitoneal abscess (RA) following paralumbar fossa laparotomy (PFL). ANIMALS: 32 Holstein cows with RA. PROCEDURES: The record database of a veterinary teaching hospital was searched to identify cattle that were treated for an RA between January 1995 and March 2017. Cattle with an RA > 30 cm in diameter located 3.5 cm subjacent to the skin that had undergone a PFL < 3 months before examination for the RA were evaluated. Information extracted from the record of each cow included signalment; physical examination, clinicopathologic, and transabdominal ultrasonographic findings; treatments administered; and outcome. Milk production data were analyzed for the lactations before, during, and after RA treatment. RESULTS: Common physical examination findings were rumen hypomotility, anorexia, and fever, and common clinicopathologic findings were anemia and neutrophilia. Abdominal palpation per rectum and transabdominal ultrasonography facilitated RA diagnosis and identification of the optimal location for drainage. Thirty of 32 cows underwent surgical drainage of the RA and prolonged administration of systemic antimicrobials. Two cows were euthanized because of concurrent peritonitis, including 1 that underwent surgical RA drainage. Thirty cows were discharged from the hospital alive, and most returned to their previous level of milk production. CONCLUSIONS AND CLINICAL RELEVANCE: Although uncommon, RA should be suspected in cows that develop anorexia and fever within 3 months after PFL. Cows with RA often returned to their previous level of milk production, but treatment was generally prolonged and costly.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".