Real-world treatment patterns and health care resource use for patients with myelofibrosis: results from the METER study
Bibliographic record
Abstract
ABSTRACT: Myelofibrosis (MF), a myeloproliferative neoplasm, was most commonly treated with hydroxyurea (HU) before approval of ruxolitinib (RUX), now the standard of care. Factors that influence real-world MF treatment patterns are not well understood. The METER study was a multi-country, retrospective chart review of MF treatment patterns, treatment effectiveness, and health care resource utilization. Of 997 eligible patients, 65.9% had primary MF, and 11.7% were transfusion dependent. Median time from diagnosis to the start of initial treatment (index date) was 29 days (interquartile range [IQR], 1-140). RUX was the most common first-line (1L) therapy (49.0%), followed by HU (40.2%); 48.5% of patients remained on 1L therapy through week 156. Seventy-seven patients underwent allogeneic stem cell transplantation; transplantation was uncommon at 1L, increasing from 2.2% at week 24 to 11.0% at week 156 in patients ≤70 years of age. Median overall survival was 79.1 months (95% confidence interval [95% CI], 70.8 to not estimable [NE]) in all patients, 142.3 months (95% CI, 74.1 to NE) for non-RUX patients, 77.6 months (95% CI, 64.2-85.9) for patients on RUX 1L therapy, and 72.6 months (95% CI, 62.0 to NE) for RUX 2L+ patients. Of patients who experienced ≥1 corresponding event, the median hospital length of stay (LoS; n = 520), intensive care unit LoS (n = 71), and number of transfusions (n = 375) were 16 days (IQR, 7-37), 5 days (IQR, 2-13), and 12 (IQR, 4-26), respectively. Despite improvements, there were numerous hospitalization and transfusion events among these patients in routine practice. This trial was registered at www.ClinicalTrials.gov as #NCT05444972.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".