SP666WHAT IS THE BENEFIT OF RENAL TRANSPLANTATION FOR A COHORT OF PATIENTSAGED 70 YEARS AND OLDER STARTING A RENAL REPLACEMENT THERAPY?
Bibliographic record
Abstract
Introduction and Aims: Elderly patients are a growing population among those starting renal replacement therapy (RRT) but they are rarely registered on waiting list even if age per se are not a contra indication for kidney transplantation. Our aims were to evaluate the benefit of kidney transplantation and identify risk factors for post-transplant mortality among a cohort of patients from metropolitan France, who were aged 70 or over at the initiation of RRT. Methods: 41716 patients from the French Renal Epidemiology and Information Network (REIN), started RRT between 2002-2013, at the age of 70 or over. Among them 1219 (2.9%) had been registered on the waiting list of renal transplantation and 877 (2.1%) were transplanted. Transplanted patients were matched to a sample of not-transplanted ones on age, gender, comorbidities and time spent on dialysis (n=2183). Survival benefit of transplantation was assessed firstly among dialyzed patients (matched cohort) and secondly among wait-listed patients (n=1219), using Cox regression models with transplantation as a time dependent variable.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".