Normothermic Ex vivo Lung Perfusion: Toronto Protocol
Bibliographic record
Abstract
The advent of normothermic ex vivo lung perfusion (EVLP) has allowed for significant increases in lung transplant volume, allowing for the recovery of lungs deemed unsuitable for transplantation. At our center, lung transplant activity has more than doubled within the last decade since the introduction of EVLP into our program. Here, we outline some of the important aspects of the Toronto EVLP protocol within a narrative video. References Cypel, M., Yeung, J. C., Hirayama, S., Rubacha, M., Fischer, S., Anraku, M., Sato, M., Harwood, S., Pierre, A., Waddell, T. K., de Perrot, M., Liu, M., & Keshavjee, S. (2008). Technique for prolonged normothermic ex vivo lung perfusion. The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation, 27(12), 1319–1325. https://doi.org/10.1016/j.healun.2008.09.003 Cypel, M., Yeung, J. C., Liu, M., Anraku, M., Chen, F., Karolak, W., Sato, M., Laratta, J., Azad, S., Madonik, M., Chow, C. W., Chaparro, C., Hutcheon, M., Singer, L. G., Slutsky, A. S., Yasufuku, K., de Perrot, M., Pierre, A. F., Waddell, T. K., & Keshavjee, S. (2011). Normothermic ex vivo lung perfusion in clinical lung transplantation. The New England journal of medicine, 364(15), 1431–1440. https://doi.org/10.1056/NEJMoa1014597
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.092 | 0.021 |
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".