Complications and short‐term outcomes associated with single‐port laparoscopic splenectomy in dogs
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Bibliographic record
Abstract
OBJECTIVE: To describe a technique and report complications and outcome for single-port laparoscopic splenectomy in dogs. STUDY DESIGN: Retrospective study. ANIMALS: Twenty-two client-owned dogs. METHODS: Medical records of dogs that underwent single-port laparoscopic splenectomy at 4 veterinary teaching hospitals were evaluated. Commercially available single-port devices were used in all dogs. In all cases, a vessel-sealing device was used to perform a hilar splenectomy. After the procedure was completed, the spleen was exteriorized through the single-port device incision or placed into a specimen retrieval device; enlargement of the incision was required in some cases. RESULTS: Median weight of dogs was 9.9 kg (interquartile range [IQR], 7.0-26.0). Splenectomy was performed because of splenic mass (n = 14), diffuse splenic disease (n = 4), or as adjunctive treatment for management of immune-mediated disease (n = 4). In cases with splenic masses, median maximal diameter of the largest splenic mass was 2.0 cm (IQR, 1.3-2.5). In 6 of 22 cases, mild splenic capsular bleeding occurred during the procedure. Conversion occurred in 6 of 22 cases to either a laparoscopic-assisted approach (n = 5) or an open celiotomy (n = 1). Reasons for conversion included large splenic dimensions (n = 3), adhesion formation (n = 1) or poor visualization resulting from abundant intra-abdominal fat (n = 1) or hemorrhage (n = 1). Heavier body weight was significantly associated with conversion (odds ratio, 1.62; 95% confidence interval, 1.05-2.51), but body condition score, having a splenic mass, splenic mass size, and surgical time were not. CONCLUSION: Single-port laparoscopic splenectomy is an effective approach for elective splenectomy in dogs. The technique may be well suited to smaller dogs with modestly sized splenic masses or diffuse splenic disease.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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