Goodbye etoposide? Taking the leap to ruxolitinib in haemophagocytic lymphohistiocytosis
Bibliographic record
Abstract
Fang et al. report a retrospective analysis of paediatric patients with haemophagocytic lymphohistiocytosis (HLH) associated with autoimmune/autoinflammatory disorders treated with ruxolitinib. Responses were impressive and rapid, and ruxolitinib was well tolerated. This study demonstrates that a subset of patients with HLH can be treated with JAK inhibition without the need for cytotoxic chemotherapy. Further work will be needed to better define patient selection for therapy, as some patient groups and HLH triggers, such as malignancy-associated HLH, may be better suited for etoposide-based therapy. Commentary on: Fang et al. Ruxolitinib-based regimen in children with autoimmune disease or autoinflammatory disease related hemophagocytic lymphohistiocytosis. Br J Haematol 2025; 206:215-223.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".