Anesthesia and outcome after partial hepatectomy for adult-to-adult donor transplantation
Bibliographic record
Abstract
PURPOSE OF REVIEW: The worldwide adoption of live liver donors as a source of donor organs for transplantation has been curtailed by the very real risk of complications in otherwise healthy people. Our objective in this review is to outline the perioperative management of the live liver donor for adult-to-adult transplantation. RECENT FINDINGS: The incidence and severity of complications following live liver donation is extremely variable, and reporting needs to be standardized if we are to improve the perioperative management and outcomes. Agreed definitions would clarify the incidence and severity of postoperative complications, allow identification of areas in which management can be improved and suggest areas for future investigation. Such an effort will require the cooperation of centers around the world. SUMMARY: Live liver donation is a valuable option for organ donation that can be conducted safely with a multidisciplinary perioperative approach. Future considerations should focus on the recovery period and how the intraoperative management can be optimized to minimize the impact of surgery on donors' quality of life.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".