Enteric-Coated Mycophenolate Sodium can be Safely Administered in Maintenance Renal Transplant Patients: Results of a 1-Year Study
Bibliographic record
Abstract
With the objective of enhancing upper gastrointestinal (GI) tolerability, enteric-coated mycophenolate sodium (EC-MPS, myfortic, Novartis Pharma AG, Basel, Switzerland) has been developed. This double-blinded, 12-month study investigated whether renal transplant patients taking mycophenolate mofetil (MMF) can be safely converted to EC-MPS. Stable kidney transplant patients were randomized to receive EC-MPS (720 mg b.i.d.; n=159) or continue receiving MMF (1000 mg b.i.d.; n=163). The incidence of GI adverse events (AEs) was similar at 3 months (primary endpoint: EC-MPS 26.4%; MMF 20.9%; p=NS) and at 12 months (EC-MPS 29.6%; MMF 24.5%; p=NS). The increase from baseline in mean GI AE severity score, adjusted for duration, tended to be lower in EC-MPS patients (3 months: 0.15 vs. 0.20; 12 months: 0.23 vs. 0.47; p=NS). Neutropenia (<1500 cells/mm3) within the first 3 months (coprimary endpoint) was low in both groups (EC-MPS 0.6%; MMF 3.1%; p=NS). Although the overall incidence of infections was similar, the number of serious infections was significantly lower in EC-MPS patients (8.8% vs. 16.0%; p<0.05). Similar rates of efficacy failure (EC-MPS 2.5%; MMF 6.1%; p=NS), biopsy-proven acute rejection (EC-MPS 1.3%; MMF 3.1%; p=NS) and biopsy-proven chronic rejection (EC-MPS 3.8%; MMF 4.9%; p=NS) were observed in both groups. In conclusion, renal maintenance patients can be converted from MMF to EC-MPS without compromising the safety and efficacy profile associated with MMF.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".