Longitudinal Assessment of Transfusion Intensity in Patients With JAK Inhibitor–Naive or –Experienced Myelofibrosis Treated With Momelotinib
Bibliographic record
Abstract
PURPOSE: Anemia is a cardinal feature of myelofibrosis often managed with red blood cell (RBC) transfusions, which may contribute to negative prognostic, quality-of-life, and healthcare-related economic impacts. The Janus kinase (JAK) 1/JAK2/activin A receptor type 1 inhibitor momelotinib was approved for the treatment of patients with myelofibrosis and anemia based on clinical trial evidence of anemia, spleen, and symptom benefits illustrated using binomial response/nonresponse endpoints. In the present post hoc, descriptive analyses, the impact of momelotinib on RBC transfusion burden over time was further characterized across JAK inhibitor-naive and -experienced patients. METHODS: All RBC units transfused were collected during the baseline and 24-week treatment periods, initially in a single-arm phase 2 study as proof-of-concept analysis, and then versus comparators (ruxolitinib, best available therapy [BAT], and danazol) in the phase 3 SIMPLIFY-1, SIMPLIFY-2, and MOMENTUM studies, respectively. RESULTS: In the phase 2 study, mean transfusion requirement changed by -1.5 units/28 days, with 85% of patients (35/41) achieving numeric transfusion reduction. Across SIMPLIFY-1, SIMPLIFY-2, and MOMENTUM, mean transfusion requirements decreased with momelotinib (-0.1, -0.36, and -0.86 units/28 days), while mean requirements with ruxolitinib, BAT, and danazol changed by +0.39, 0, and ‒0.28 units/28 days, respectively. Overall, 87% (185/213), 77% (79/103), and 85% (110/130) of patients had improved or stable transfusion intensities with momelotinib versus 54% (117/216), 62% (32/52), and 63% (41/65) with ruxolitinib, BAT, and danazol. CONCLUSION: These novel time-dependent transfusion burden analyses demonstrate that momelotinib is associated with anemia-related benefits in most patients and greater transfusion burden reduction versus comparators. TRIAL REGISTRATION: ClinicalTrials.gov identifiers: NCT02515630, NCT01969838, NCT02101268, NCT04173494.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".