Adverse events (AEs) and the return of myelofibrosis (MF)-related symptoms after interruption or discontinuation of ruxolitinib (RUX) therapy.
Bibliographic record
Abstract
6624 Background: RUX is a JAK1/JAK2 inhibitor that demonstrated significant clinical benefit in patients (pts) with MF in COMFORT-I (NCT00952289), a phase 3, randomized (1:1), double-blind, placebo (PBO)-controlled study (N=309). Methods: Pts assessed MF-related symptoms daily using the modified Myelofibrosis Symptom Assessment Form v2.0; Total Symptom Score (TSS) was calculated from individual scores for abdominal discomfort, pain under left ribs, early satiety, night sweats, itching, and bone/muscle pain. Therapy was interrupted if platelet or absolute neutrophil count fell below 50,000/µL or 500/µL, respectively. AEs were evaluated during treatment interruption or discontinuation. The protocol suggested an optional tapering strategy and possible addition of steroids if RUX therapy was discontinued for reasons other than thrombocytopenia. Results: In RUX-treated patients with treatment interruption, TSS gradually returned to baseline levels over approximately 1 week. The most common AE leading to treatment interruption or discontinuation in each group was thrombocytopenia (n=11, RUX) and abdominal pain (n=4, PBO). Of these, only 1 RUX pt discontinued for thrombocytopenia. A summary of new onset/worsening AE data after treatment interruption or discontinuation is presented (Table). Of 58 pts who discontinued study treatment, 23 (n=10, RUX; n=13, PBO) experienced a total of 43 SAEs (19, RUX; 24, PBO) that showed no specific pattern or difference between treatment groups. Four of 21 RUX-treated pts had dose tapering following study drug discontinuation. Conclusions: Apart from the expected return of MF-related symptoms, there was no pattern of AEs to suggest that RUX interruption or discontinuation is associated with a specific withdrawal syndrome. [Table: see text]
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".