Trichobezoar Obstruction after Stapled Jejunal Anastomosis in a Dog
Bibliographic record
Abstract
OBJECTIVE: To describe an unusual long-term complication of circular end-to-end anastomosis (CEEA) stapling in a dog. STUDY DESIGN: Clinical case report. ANIMAL: An 11-year-old, female neutered, Labrador Retriever. METHODS: The dog was referred for clinical signs of bowel obstruction. An enterectomy was performed 2 years before presentation using a CEEA stapling device. Palpation, plain radiographs, and ultrasound of the abdomen confirmed the presence of a mass in the bowel, causing obstruction, and requiring surgical approach. RESULTS: An exploratory celiotomy revealed a 5 cm mass in the jejunum, involving the site of the previous surgery. The mass was removed by enterectomy. Dissection of the mass revealed the presence of many staples at the previous enterectomy site, and a trichobezoar entangled in the exposed parts of the staples. CONCLUSIONS: An enterectomy was required to treat an intestinal obstruction caused by a trichobezoar entangled in a CEEA-stapled anastomosis. CLINICAL RELEVANCE: Development of trichobezoar and subsequent bowel obstruction should be considered an unusual but potential long-term complication of CEEA-stapled anastomosis.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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 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".