Comparison of outcome in dogs undergoing single‐incision laparoscopic‐assisted intestinal surgery and open laparotomy for simple small intestinal foreign body removal
Bibliographic record
Abstract
OBJECTIVE: To evaluate and compare outcome in dogs that underwent single-incision laparoscopic-assisted intestinal surgery (SILAIS) and open laparotomy (OL) for simple foreign body removal. STUDY DESIGN: Retrospective study. ANIMALS: Twenty-eight client-owned dogs that underwent SILAIS (n = 13) or OL (n = 15). METHODS: Foreign body removal via SILAIS was performed with a commercially available single-port device. After laparoscopic evaluation, a wound retraction device (WRD) was inserted. The small intestine was extracorporeally explored, and foreign body removal was performed. The surgeon's hand was inserted through the WRD to palpate portions of the gastrointestinal tract not able to be extracorporeally evaluated. Open laparotomy with foreign body removal was performed via a ventral midline approach. Medical records were retrospectively reviewed, and perioperative data were collected. Follow-up data were collected with a standardized questionnaire with the referring veterinarian and/or owner via telephone interview. RESULTS: No postoperative complications were encountered in either the SILAIS or the OL group, and all dogs were successfully discharged from the hospital. Conversion from SILAIS to OL occurred in 3/13 cases. There was no significant difference in duration of hospitalization, duration of time to recovery, or surgical time between surgical approaches (SILAIS vs OL). CONCLUSION: Single-incision laparoscopic-assisted intestinal surgery for foreign body removal was not significantly different from OL in a variety of outcome measures in this cohort of dogs. Diagnostic imaging including ultrasonography or computed tomography may improve appropriate case selection for SILAIS for simple foreign body removal. CLINICAL SIGNIFICANCE: Single-incision laparoscopic-assisted intestinal surgery offers a minimally invasive technique for simple small intestinal foreign body removal. Additional study is required to compare SILAIS with OL.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 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".