SP836PROSPECTIVE, 6 MONTH, OPEN LABEL, CONVERSION STUDY FROM MYCOPHENOLATE MOFETIL TO MYCOPHENOLIC ACID EVALUATING THE SEVERITY OF GASTRO-INTESTINAL SYMPTOMS AND MYCOPHENOLIC ACID URINARY METABOLITE AS A SURROGATE MARKER OF PLASMATIC AREA UNDER THE CURVE
Bibliographic record
Abstract
Introduction and Aims: Treatment with mycophenolate mofetil (MMF) in the kidney transplant population often results in adverse gastro-intestinal (GI) events, which can lead to dose reductions that in turn can increase the risk of rejection. Many studies have shown that MPA has a better GI side effect profile then MMF for the first weeks up to three months after initiation of treatment but we do not know if the situation remains the same in the long term. Currently, the measurement of 12 hours plasmatic MPA area under the curve (AUC) is the most accurate way to determine MPA exposure in kidney transplant patients. However, obtaining hourly blood samples for 12 hours is highly undesirable to the patient and impractical for the medical staff. MPA glucuronide (MPAG) is the most abundant metabolite of MPA and its route of elimination is via the urine. The quantity of MPAG in the urine, if shown to correlate with plasma levels of MPA, could serve as a surrogate marker for plasmatic MPA AUC.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".