Liver resection for hepatocellular carcinoma in patients with portal hypertension: the role of laparoscopy.
Bibliographic record
Abstract
Liver resection (LR) for hepatocellular carcinoma (HCC) in patients with chronic liver disease (CLD) is a major issue since patients are at risk of serious intraoperative and postoperative complications. The current EASL/AASLD guidelines recommend LR only in case of patients with stage A HCC with well-preserved liver function and consider the presence of portal hypertension (PHT) as a contraindication to surgery. Nevertheless, the literature on this topic is conflicting. Recently several studies reported that favorable outcomes can be achieved with a careful patients' selection in high volume centers. Laparoscopic LR, when performed by well-trained surgeons and with appropriate indications, proved to be a valid option for the surgical treatment of HCC on cirrhosis offering similar oncologic outcomes but a reduction in surgical related morbidities. Laparoscopic LR thanks to a reduction in the incidence of post-operative liver failure and ascites development in comparison to standard open LR could, in selected cases challenge alternative treatments in the treatment of HCC patients with preserved liver function and clinical signs of mild PHT.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".