Volumes of Liver Transplant and Partial Hepatectomy Procedures Are Independently Associated with Lower Postoperative Mortality Following Resection for Hepatocellular Carcinoma
Bibliographic record
Abstract
Partial hepatectomy for hepatocellular carcinoma (HCC) is a high-risk procedure, especially in the presence of portal hypertension. We assessed whether the volume of hospital liver transplant procedures was associated with lower in-hospital mortality independently of the volume of partial hepatectomy procedures. We queried the Nationwide Inpatient Sample (1998-2005) to identify patients who had undergone partial hepatectomy for HCC and used logistic regression to assess the independent effect of volumes of hospital liver transplant and partial hepatectomy procedures on mortality while adjusting for demographic, clinical, and hospital factors. Overall in-hospital mortality was 7.7%. Patients with portal hypertension experienced higher mortality than those who did not (24.5% versus 5.8%, P < 0.0001). Postoperative mortality benefited from a higher volume of hospital liver transplants (>12 per year) and partial hepatectomy procedures (>5 resections per year). Undergoing partial hepatectomy at a center that performed an effective liver transplant volume (eLTV; >12 transplants per year) was associated with lower mortality in both the portal hypertensive group (16.4% versus 33.7%, P = 0.004) and non-portal hypertensive group (4% versus 8%, P = 0.0002). After multivariate adjustment, the odds ratio (OR) of in-hospital death for those with portal hypertension was 4.5 [95% confidence interval (CI), 2.98-6.81]. The lower mortality observed with eLTV (OR, 0.59; 95% CI, 0.37-0.93) was independent of the mortality benefit from an effective partial hepatectomy volume (>5 hepatectomies per year; OR, 0.54; 95% CI, 0.31-0.94). Postoperative complications were also fewer at centers with eLTV compared to those without eLTV (39.2% versus 29.3%, P < 0.0001). In conclusion, given the postoperative mortality benefit independent of the volume of partial hepatectomy procedures, referral to a center with eLTV should be considered for HCC resection, especially in the presence of portal hypertension.
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) | 0.000 | 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".