Anicteric Gallbladder Rupture with Elevated Bile Acids in Abdominal Effusion in a Dog with Cholecystitis
Bibliographic record
Abstract
Anicteric gallbladder rupture has been rarely described in veterinary medicine, and, generally, it has been related to gallbladder wall necrosis secondary to gallbladder mucocele. A 5 yr old, male, neutered Labrador retriever presented for acute onset anorexia, lethargy, and vomiting. Cholecystitis was diagnosed based on the ultrasonographic findings and bactibilia, and, consequently, medical treatment was established. Despite improvement of the patient, a focal ultrasound of the hepatobiliary tract was performed 72 hr after admission for reassessment, revealing gallbladder wall thickening and abdominal effusion. Intracellular bacteria were present in nondegenerated neutrophils, and the effusion was categorized as septic exudate, compatible with septic peritonitis. Exploratory laparotomy confirmed an anicteric gallbladder rupture potentially secondary to cholecystitis and/or previous cholecystocentesis. The patient was not icteric the day of the surgery, serum bilirubin was within normal limits, abdominal fluid bilirubin concentration was below that of serum, and no bile pigment was detected; however, bile acids were significantly higher in the abdominal effusion compared with the serum concentration. This case describes an anicteric gallbladder rupture in a dog with concomitant cholecystitis and raises the question about the sensitivity of bile acid evaluation as a tool for diagnosis of gallbladder rupture and bile peritonitis in dogs.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| 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".