10.1016/s1762-0945(18)76912-x
Bibliographic record
Abstract
Resume Le syndrome d’ischemie reperfusion est un phenomene incontournable en transplantation renale. Il associe des processus lesionnels d’origines biochimiques lies au stress oxydant et immunologiques en rapport avec le recrutement et l’activation de cellules de l’immunite innee. Les lesions histologiques associent notamment une necrose tubulaire aigue et un œdeme interstitiel, qui peuvent evoluer vers une fibrose interstitielle. L’importance de ces lesions depend notamment des caracteristiques du donneur (âge, donneur a criteres elargis, etc.) et de la duree d’ischemie froide. A court terme, les consequences deleteres du syndrome d’ischemie reperfusion se traduisent principalement par une reprise differee de la fonction renale. A plus long terme, la duree d’ischemie froide a aussi un impact sur la survie du greffon. Les modeles precliniques, en particulier murins et porcins, ont permis de nombreuses avancees dans la comprehension physiopathologique du phenomene d’ischemie reperfusion. Le porc, par sa proximite anatomique renale avec l’homme, est un modele pertinent pour l’evaluation de molecules administrees chez le donneur ou le receveur, ou encore additives aux solutions de conservation. Enfin, differentes strategies de reanimation du donneur et de perfusion du greffon renal peuvent etre etudiees chez le porc. Chez l’homme, la prevention du syndrome d’ischemie reperfusion fait l’objet de recherches cliniques a travers le conditionnement du donneur, les molecules additives aux solutions de conservation, les modalites de perfusion du greffon renal ou encore les molecules administrees chez le receveur. Dans l’attente d’avancees significatives dans ces differentes voies de recherches, l’objectif d’une duree d’ischemie froide courte reste primordial.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.972 | 0.973 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".