A Case of Collapsing Glomerulopathy Secondary to Romidepsin Therapy in a Patient With Subcutaneous Panniculitis-Like T-Cell Lymphoma
Bibliographic record
Abstract
We report a case of a 44-year-old female with subcutaneous panniculitis-like T-cell lymphoma, who developed acute renal failure and nephrotic syndrome following treatment with romidepsin. Renal biopsy revealed collapsing variant of focal segmental glomerulosclerosis (FSGS), with good clinical response to high dose steroids. Although there is an association between paraneoplastic glomerulonephritides and lymphoma, in this case the temporal association and response to therapy, despite progression of the lymphoma, favor FSGS secondary to romidepsin therapy. To our knowledge, this is the first reported case of collapsing FSGS secondary to romidepsin therapy. World J Nephrol Urol. 2014;3(1):41-48 doi: http://dx.doi.org/10.14740/wjnu132w
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".