Ruxolitinib Is an Effective Therapy for Ciltacabtagene Autoleucel-Associated Parkinsonism in Multiple Myeloma
Bibliographic record
Abstract
After ciltacabtagene autoleucel (cilta-cel) in multiple myeloma, 5% of patients can develop parkinsonism, with a high fatality rate. The pathogenesis and optimal therapy of parkinsonism from B-cell maturation antigen chimeric antigen receptor T-cell (CAR T-cell) therapy are unknown. Parkinson's disease occurs from the loss of dopaminergic neurons in the substantia nigra. However, in cilta-cel-associated parkinsonism, dopamine transporter imaging is normal, rendering traditional agents such as carbidopa/levodopa ineffective. Thus, the pathogenesis of cilta-cel-associated parkinsonism and Parkinson's disease is distinct. As CAR T-cell therapy for multiple myeloma is expanding and moving to earlier lines, the need to optimize therapy for parkinsonism, a potentially life-threatening complication, becomes more urgent. This report presents the first documented cases of two patients with immune effector cell-associated hemophagocytic lymphohistiocytosis-like syndrome and cilta-cel-associated parkinsonism, effectively treated with ruxolitinib.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".