Early but not late allograft nephrectomy reduces allosensitization after transplant failure
Bibliographic record
Abstract
INTRODUCTION: Allosensitization is a significant obstacle to retransplantation for patients with primary renal graft failure. METHODS: We assessed the impact of allograft nephrectomy (Group I) and weaning of immunosuppression (Group II) on percent panel reactive antibody (%PRA) at various time points after graft failure in 132 patients with a median follow-up of 47 months. Of these, 68% had allograft nephrectomy while 32% were placed on the waiting list and were either taken off immunosuppression, left on prednisone or on low-dose immunosuppressive therapy. RESULTS: When groups were stratified into early (<6 months) and late (>6 months) graft failure, patients who had transplant nephrectomy for early failure demonstrated a decline in %PRA from 46% at time of graft failure to 27% at last follow-up (p = 0.02); conversely, %PRA continued to rise in Group II experiencing early allograft failure. Both Groups I and II patients with late graft failure maintained elevated %PRA at last follow-up. CONCLUSION: Allograft nephrectomy may play a role in limiting allosensitization in patients with early but not late graft failures.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".