Long-term Outcome of Adult Patients With Membranous Nephropathy Treated With Rituximab
Bibliographic record
Abstract
Introduction: Rituximab (RTX) therapy has become the standard of care for treatment of membranous nephropathy (MN). However, data on hard outcomes such as end-stage kidney disease (ESKD) and loss of estimated glomerular filtration rate (eGFR), are lacking. Methods: This was a retrospective study on all patients with MN treated with RTX between January 2000 and December 2022. The primary outcomes were ESKD and eGFR loss > 50%. Clinical outcomes were complete remission (CR), partial remission (PR) (reduction in baseline proteinuria ≥ 50% and proteinuria ≤ 3.5 g/24 h), and immunological remission (IR) (serum antiphospholipase A receptor antibody [PLA2R-Ab] depletion). Results: , proteinuria was 9.2 (6.7-11.9) g/24 h, and serum albumin was 2.7 (2.2-3.2) g/dl; Of the patients, 108 (75.5%) had PLA2R-Ab-associated MN (PLA2R-MN); and 140 of 159 (88.1%) attained CR or PR. Median (interquartile range [IQR]) time to CR and PR were 22.6 (15.5-37.4) and 6.8 (3.6-12.1) months, respectively. Failure to respond to RTX was observed in 11.9% of patients. Previous IS and interstitial fibrosis/tubular atrophy (IFTA) ≥ 25% were independent factors associated with failure to respond to RTX. Patients treated only with RTX with a median follow-up of 62.6 months; 7 of 159 (4.4%) developed ESKD with an estimated renal survival of 97% (95% confidence interval [CI]: 94%-100%) and 95.4% (95% CI: 91.2%-99%) at 5 and 10 years, respectively. Conclusion: RTX treatment is associated with excellent long-term renal survival that compares favorably with historical survival rates using the cyclic corticosteroids/cyclophosphamide regimen.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".