Robotic‐assisted hepatic resection: a systematic review
Bibliographic record
Abstract
BACKGROUND: Currently, hepatic resections are being performed with robotic-assisted systems. There is little evidence regarding the outcomes of this surgical approach. This study aims to systematically review the outcomes related to robotic-assisted hepatic resections. METHODS: A systematic search of electronic databases was completed. All human studies, limited to adults, published between 2000 to August 2011 were included. RESULTS: Eight studies yielded a total of 170 procedures. The overall morbidity rate was 11.6% (range 0-39%). There were no mortalities reported following robotic-assisted hepatic resection. Mean operative time was 264.8 minutes, with a mean hospital length of stay of 7.8 days. Rate of conversion was 6.6%. Cost was greater than either laparoscopy or open hepatic surgery. CONCLUSIONS: Our systematic review suggests robotic-assisted hepatic resection is safe and feasible, with low mortality and morbidity rates. Further research is needed to determine if oncological outcomes are similar.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".