Long-term results of protocol kidney biopsy directing steroid withdrawal in simultaneous pancreas-kidney transplant patients
Bibliographic record
Abstract
INTRODUCTION: We sought to determine whether protocol biopsies could be used to guide treatment and improve outcomes in simultaneous pancreas-kidney (SPK) patients. METHODS: Between 2004 and 2013, protocol biopsies were performed on SPK patients at 3-6 months and one year post-transplant. Maintenance immunosuppression consisted of a calcineurin inhibitor, anti-proliferative agent, and corticosteroid. Corticosteroid was withdrawn in negative early biopsies, maintained in subclinical/ borderline biopsies, and increased if Banff IB or greater rejection was identified. Endpoints included presence of interstitial fibrosis and tubular atrophy on biopsy at one year (IF/TA), rejection episodes, and renal and pancreas function at five years' followup. RESULTS: Forty-one SPK transplant patients were reviewed and a total of 75 protocol biopsies were identified. On early biopsy, 51% had negative biopsies, 44% had borderline rejection, and 5% had subclinical rejection. Renal and pancreas function were not significantly different at one, two, and five years post-transplant between negative vs. borderline early biopsy patients. No difference in the degree of IF/TA was found between these two groups. CONCLUSIONS: To our knowledge, this is the first study to evaluate protocol biopsies as an investigative tool prior to steroid withdrawal in SPK patients. Our study suggests that there are no detrimental functional or histological effects at five years post-transplant, despite weaning steroids in the negative biopsy group.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".