Recurrent idiopathic membranous nephropathy in the renal allograft: successful treatment with the anti-CD20 monoclonal antibody rituximab
Bibliographic record
Abstract
Idiopathic membranous glomerulonephritis (IMGN) is one of the most common causes of nephrotic syndrome in adults. Disease progression is associated with the magnitude and duration of proteinuria [Reichert LJ, Koene RA, Wetzels JF. Prognostic factors in idiopathic membranous nephropathy. Am J Kidney Dis 1998; 31: 1-11]. Membranous nephropathy is also one of the glomerular diseases that is well described to recur in the transplanted kidney [Kotanko P, Pusey CD, Levy JB. Recurrent glomerulonephritis following renal transplantation. Transplantation 1997; 63: 1045]. There is no definitive therapy for primary membranous glomerulonephritis or recurrent disease in the graft. Cyclophosphamide plus steroids or cyclosporine [Cattran DC, Greenwood C, Ritchie S et al. Canadian Glomerulonephritis Study Group. A controlled trial of cyclosporine in patients with progressive membranous nephropathy. Kidney Int 1995; 47: 1130-1135] have been the preferred agents for the treatment of MGN involving the native kidneys. More recently, several reports have described the use of the anti-CD20 monoclonal antibody rituximab in patients with IMGN. In the current report, we present a patient with ESRD secondary to IMGN who developed nephrotic range proteinuria 5 months after receiving a kidney transplant from a deceased donor. A biopsy of the allograft demonstrated changes compatible with recurrent membranous glomerulonephritis. The patient was treated with four weekly infusions of rituximab over a 1-month period with a significant decrease in proteinuria and an improvement in renal function.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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 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".