Long‐term outcome of video‐assisted thoracoscopic thoracic duct ligation and pericardectomy in dogs with chylothorax: A multi‐institutional study of 39 cases
Bibliographic record
Abstract
OBJECTIVE: To evaluate the long-term outcome of video-assisted thoracoscopic (VATS) thoracic duct ligation (TDL) and pericardectomy for treatment of chylothorax in dogs. STUDY DESIGN: Multi-institutional retrospective study. ANIMALS: Thirty-nine client-owned dogs. METHODS: Dogs were included if they had undergone a VATS TDL and pericardectomy and had at least 1-year follow-up or had died within 1 postoperative year. Medical records were evaluated, and recorded data included clinicopathological and diagnostic imaging results, surgical findings, complications, conversion rates, and long-term resolution and recurrence rates. RESULTS: Thirty-nine dogs met the inclusion criteria. Two dogs died intraoperatively; 1 was euthanized after severe restrictive pleuritis was diagnosed intraoperatively, and 1 underwent ventricular fibrillation and cardiac arrest during pericardectomy and could not be resuscitated. Conversion to an open approach was required in 1 of 39 (3%) dogs for TDL and 4 of 36 (11%) dogs for pericardectomy. Overall follow-up time was median 38 months (range, 3-115). Resolution of pleural effusion occurred in 35 of 37 (95%) dogs that survived the perioperative period. Late recurrence of pleural effusion was seen at 12, 12, and 19 months postoperatively in 3 of 35 (9%) dogs that survived the perioperative period and in which chylothorax had initially resolved. CONCLUSION: Successful long-term resolution of chylothorax was seen in a high proportion of dogs that underwent VATS TDL and pericardectomy, although late recurrence was sometimes seen. CLINICAL SIGNIFICANCE: Video-assisted thoracoscopic thoracic duct ligation and pericardectomy are highly successful in dogs with chylothorax. Future studies should evaluate whether pericardectomy is required in dogs without evidence of pericardial disease.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".