Real-world treatment patterns and health outcomes for patients with myelofibrosis treated with fedratinib
Bibliographic record
Abstract
Assess real-world fedratinib (FEDR) treatment patterns and clinical outcomes in patients with primary or secondary myelofibrosis following discontinuation of ruxolitinib (RUX). This study was a retrospective, noninterventional medical record review of patients in Canada, Germany, and the United Kingdom (UK). A total of 70 physicians (primarily hematologist-oncologists [78.6%]) provided data for 196 eligible patients. Patients were mostly male (62.8%) with primary myelofibrosis (76.5%) and initiated FEDR at a mean age of 67.7 years. Median treatment duration was 11.5 months (median follow-up, 13.8 months), and nearly half (49.5%) of patients initiated FEDR at the label-indicated dose of 400 mg daily. Six months post-initiation, 77.7% and 66.8% of patients experienced symptom and spleen response, respectively. Kaplan-Meier estimates of median progression-free and overall survival from initiation were 23.8 months (95% CI, 21.1–27.6) and 29.8 months (95% CI, 23.9-NE), respectively. These findings demonstrate real-world FEDR effectiveness among patients with myelofibrosis who discontinued RUX. What is this summary about? Myelofibrosis (MF) is a rare blood cancer that can cause unhealthy spleen growth and symptoms, such as feeling tired, loss of appetite, bone pain, and fever. This is a summary of an article that reviewed medical records of patients with MF from treatment centers in Canada, Germany, and the United Kingdom (UK). The study looked at people who had been taking a medication called fedratinib (FEDR) for their MF after they had stopped taking a different medication called ruxolitinib (RUX). Many of the people stopped taking RUX because their MF got worse within a few years. The study wanted to see if taking FEDR reduced symptoms and spleen size for people with MF after they stopped taking RUX. What were the results? After at least 6 months of taking FEDR, 77.7% of the people in the study had fewer symptoms, and 66.8% of people in the study had a decrease in spleen size or no spleen growth. Additionally, most people taking FEDR after discontinuing RUX went nearly 2 years without their MF symptoms or illness getting worse. What do the results mean? These results suggest that FEDR is an effective treatment for people with MF who have stopped taking RUX.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".