Thoracotomy for esophageal foreign body removal in a dog
Why this work is in the frame
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Bibliographic record
Abstract
In the clinical routine of small animals, the occurrence of foreign bodies (FB) in the digestive tract is routine, especially in dogs and cats with uncontrolled eating habits and puppies. In dogs, the main occurrence is bones, and in cats, linear materials. Surgical removal is usually the effective method in the treatment of esophageal FB, and endoscopy is the technique of choice, however, in some cases, it is recommended to perform thoracotomy with esophagotomy, as it presents the best results in surgical resolution. The objective of this study is to report the case of a two-year-old Labrador canine who was treated by the Ophthalmology and Surgery Sector of the University Veterinary Hospital of the Federal University of Santa Maria (HVU-UFSM) and who presented esophageal obstruction by the body and tranche. After the diagnosis and with the results of the complementary comb exams, the patient was submitted to thoracotomy with esophagotomy for the removal of the FB. In the intraoperative period, analgesic, anti-inflammatory, and antibiotic medications were used, as follows: dipyrone 25 mg/kg, TID, tramadol hydrochloride 4 mg/kg, TID, meloxicam 0.1 mg/kg SID and ceftaroline 30 mg/kg BID, all intravenous lines. On the third day after surgery, the patient was discharged without complications. The same medications were prescribed for home administration, replacing the route of administration for the oral route and the antibiotic for cefalexin 30mg/kg. The surgical approach chosen for the treatment was indicated by the size and location of the FB in the esophagus. Thus, it is concluded that the use of this technique provides the removal with the visualization of the viability of the layers and sofic and demonstrates excellent results with a return to routine activities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it