Acute kidney injury from immune checkpoint inhibitor use
Bibliographic record
Abstract
Immune checkpoint inhibitors are novel oncological medications, current classes of which include monoclonal antibodies that target inhibitory receptors cytotoxic T lymphocyte-associated antigen 4 (CTLA-4), programmed death 1 protein (PD-1) and programmed death-ligand 1. While they are novel in their ability to treat cancer, they also have a unique spectrum of immune-related adverse events. Renal-related immune adverse events, though rare, are an increasingly recognised clinical entity. We present the case of a 67-year-old man with acute kidney injury (AKI) after the second cycle of combination anti-CTLA-4 and anti-PD-1 antibodies for metastatic cutaneous melanoma. He presented with vomiting and diarrhoea, and AKI secondary to dehydration was treated with aggressive rehydration. After failing to recover biochemically, a renal biopsy was performed, which demonstrated severe acute interstitial nephritis. The culprit medications were held and he was treated with steroids. With immunosuppression, creatinine improved to pretreatment values.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".