Fostering liver living donor liver transplantation
Bibliographic record
Abstract
PURPOSE OF REVIEW: The review discusses issues pertinent to fostering professional and public interest in living donor liver transplantation. We discuss practices that we have adopted at our center, issues that have arisen and provide suggestions to expand live donor transplantation. RECENT FINDINGS: To bridge the gap between the current supply and demand of deceased donor organs, the transplant program in Toronto established the busiest live donor liver transplant program in the western world. To date, we have performed 664 live liver donor procedures with no donor deaths and excellent recipient and donor outcomes. To foster and grow live donation, we established a strong culture supporting live donation; hired a full-time, dedicated team of individuals to support the live donor program; obtained financial support for donors through a partnership agreement with the Trillium Gift of Life Network; developed linkages with the media, community service groups and the general public; generated patient education materials; and established a website. SUMMARY: With the present and future trends of deceased donation worldwide, we anticipate that live liver donation will remain an important option to fully meet the needs of patients requiring liver transplantation for the foreseeable future.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".