Rituximab therapy for Type I membranoproliferative glomerulonephritis
Bibliographic record
Abstract
AIMS: Type I membranoproliferative glomerulonephritis (MPGN) is an immune-complex disease with a relatively poor prognosis. It has no established treatment in adults. Our hypothesis was that this disease would respond to B cell depletion with rituximab, an anti-CD20 monoclonal antibody. METHODS: We conducted an openlabel trial, in Canada and the United States, of rituximab in 6 adult patients with Type I MPGN (4 idiopathic, 2 with cryoglobulinemia). The rituximab dose was 1,000 mg intravenously on Day 1 and on Day 15. The patients were followed for 1 year. The primary outcome was the change in proteinuria. RESULTS: Peripheral blood B cells were suppressed, after rituximab, in all patients. The mean urinary protein excretion was 3.9 ± 2.0 g/d before treatment. Proteinuria fell in all patients, at all-time points, after rituximab administration. The difference was statistically significant (p < 0.05) at 6, 9 and 12 months, but not at 3 months. The minimum mean urinary protein excretion was 1.4 ± 1.4 g/d at 9 months. There were 2 complete and 3 partial remissions among the 6 patients. The creatinine clearance did not change significantly over the course of the study. There were no adverse effects. CONCLUSIONS: Rituximab reduced proteinuria among patients with Type I MPGN. This trial suggests that B cells may play a role in this disease and that additional study of B-cell suppression is warranted.
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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) | 0.000 | 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) | 0.001 | 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".