Living liver donor safety: Early postoperative considerations of living liver donation guidelines from the ILTS-iLDLTG consensus conference
Bibliographic record
Abstract
Living donor liver transplantation (LDLT) is a life-saving procedure for patients with end-stage liver disease. As its use expands worldwide, ensuring the safety and well-being of live liver donors (LLD) is of paramount importance. Published evidence on early postoperative complications after living donor hepatectomy-those occurring within 90 days of surgery-is limited, and standardized postoperative care protocols are lacking. The International Liver Transplantation Society (ILTS) and the International Living Donor Liver Transplantation Group (iLDLT Group) convened a consensus conference in Toronto in March 2025 to develop guidelines for the safe care of the LLDs. This manuscript details the recommendations on early postoperative considerations for the safety of LLDs developed by Working Group III (WGIII) of the Consensus Scientific Committee, using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system for assessment of recommendations, and the Danish model of consensus. WGIII addressed four key areas: (1) standardized postoperative care, (2) early biliary complications, (3) early postoperative liver dysfunction, and (4) early postdischarge follow-up. This report emphasizes the need for vigilant postoperative monitoring in specialized units, with access to experienced providers and defined clinical pathways. Structured clinical and psychosocial follow-up protocols, perioperative prophylaxis for surgical site infections and venous thromboembolism, and management of early biliary and vascular complications are discussed. These may help standardize care, reduce complications and improve short-term outcomes in LLDs.
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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 | 0.074 | 0.098 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.008 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".