Renal involvement of mantle cell lymphoma leading to end stage renal disease
Bibliographic record
Abstract
Mantle cell lymphoma (MCL), owing to its insensitivity to chemotherapy, has a poor prognosis, with a median survival of 3 years to 4 years. MCL frequently infiltrates other organs. However, reports involving kidney in living patients are rare. Here, we report a case of MCL with renal involvement leading to end stage renal disease that required renal replacement therapy. A 69-year-old man diagnosed with MCL 3 years earlier was admitted to our emergency room due to uremic symptoms. After eight cycles of chemotherapy, he had displayed complete remission, but experienced a recurrence 1.5 years later; after refusing chemotherapy, the patient was lost on follow-up in the final 10 months. On presentation at the emergency room, the patient's serum blood urea nitrogen was 109.5 mg/dL, and creatinine was 11.1 mg/dL. All serological markers for secondary glomerulonephritis were negative. Renal biopsy revealed 50% sclerosis of the glomerulus and small dense lymphocyte infiltration of the tubulo-interstitium. Similar cells were found on the gastric mucosa. Despite our recommendation for chemotherapy, he refused all treatments except for hemodialysis, which was maintained for 12 months until his death. This patient represents the first case report of the renal involvement of MCL leading to end stage renal disease.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".