Outcomes and prognostic variables associated with right divisional hepatic lobectomies in 70 dogs
Bibliographic record
Abstract
OBJECTIVE: To determine the outcome and prognostic variables associated with survival and complications in dogs undergoing right divisional hepatic lobectomies. STUDY DESIGN: Multi-institutional retrospective case series. ANIMALS: A total of 70 client-owned dogs with right divisional hepatic masses. METHODS: Medical records of dogs undergoing right divisional hepatic lobectomies and partial lobectomies from January 1, 2008 to January 1, 2022 were reviewed and key variables were extracted. Univariable logistic regression estimated effects of risk factors. Kaplan-Meier survival curves estimated overall survival times (OST) and median survival times (MST). RESULTS: Intraoperative complications occurred in 38/70 (54.3%) dogs. A total of 15 dogs (21.4%) required blood transfusions. No surgical method was associated with intraoperative (p = .566), immediate postoperative (p = .756), or short-term complications (p = .799). Perioperative mortality risk was 2.9% and 30-day mortality risk was 12.1%. There were differences in survival based on the requirement for advanced hemodynamic support (p = .004). Hepatocellular carcinoma (HCC) was the most common diagnosis at 52.9%. The 1-, 2-, and 3-year survival rates for dogs with HCC were 77%, 55%, and 12%, respectively, with 35.3%, 48.8%, and 65.8% lost to follow-up at 1, 2, and 3 years. CONCLUSION: Right divisional hepatic lobectomies were associated with a high intraoperative complication risk, with 21% of dogs requiring blood transfusions; however, no intraoperative deaths occurred. No surgical method was associated with greater risk of complications. CLINICAL SIGNIFICANCE: Despite high intraoperative complication risks, right divisional lobectomy and partial lobectomy may carry a lower risk of perioperative mortality than previously considered.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".