Longterm Followup After Tapering Mycophenolate Mofetil During Maintenance Treatment for Proliferative Lupus Nephritis
Bibliographic record
Abstract
OBJECTIVE: To determine the timing for safe reduction of mycophenolate mofetil (MMF) dose during remission-maintenance therapy of proliferative lupus nephritis. METHODS: The study population consisted of 44 patients evaluated retrospectively; MMF dose was empirically tapered in 18/44 patients until the latest observation. RESULTS: Patients reducing MMF ≤ 18 months after remission/complete remission had a 6.8-fold/6.3-fold higher risk of relapse compared to those taking a stable dose (p = 0.001, p = 0.011, respectively). Reducing MMF later than 18 months was not associated with increased relapse rates. CONCLUSION: Reducing MMF > 1.5 years after remission/complete remission seems to warrant drug tapering without increased risk of disease flare in proliferative lupus nephritis.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".