SIROLIMUS ALLOWS EARLY CYCLOSPORINE WITHDRAWAL IN RENAL TRANSPLANTATION RESULTING IN IMPROVED RENAL FUNCTION AND LOWER BLOOD PRESSURE1,2,10
Bibliographic record
Abstract
INTRODUCTION: This study evaluated whether cyclosporine (CsA) could be eliminated from a sirolimus (Rapamune, rapamycin, SRL)-CsA-steroid (ST) regimen at 3 months. METHODS: This was an open-label study conducted in Europe, Australia, and Canada. Upon enrollment, 525 primary (90%) or secondary (10%) renal allograft recipients with cadaveric (89%) or living (11%) donors received 2 mg of sirolimus (troughs>5 ng/ml), CsA, and steroids. At 3 months+/-2 weeks, eligible patients were randomized (1:1) to remain on SRL-CsA-ST or to have CsA withdrawn and therapy continued with SRL (troughs 20-30 ng/ml)-ST. RESULTS: At 12 months, overall graft and patient survival were 89.1% and 94.9%, respectively. In the 430 (82%) randomized patients, there was no difference in graft survival (95.8% vs. 97.2%, SRL-CsA-ST vs. SRL-ST) or patient survival (97.2% vs. 98.1%, respectively). The incidence of biopsy-confirmed primary acute rejection was 13.1% during the prerandomization period. After randomization, the acute rejection rates were 4.2% and 9.8% for SRL-CsA-ST and SRL-ST, respectively (P=0.035). Renal function (calculated glomerular filtration rate, 57 vs. 63 ml/min, P<0.001) and blood pressure significantly improved when CsA was withdrawn. Hypertension, CsA nephrotoxicity, hyperuricemia, and Herpes zoster occurred statistically more frequently in patients remaining on CsA, whereas thrombocytopenia, abnormal liver function tests, and hypokalemia were reported more often for SRL-ST therapy. CONCLUSION: Sirolimus, CsA, and steroids for 3 months posttransplant, followed by elimination of CsA, is a safe and effective alternative to continuous therapy with sirolimus, CsA, and steroids that can result in better renal function and lower blood pressure.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".