Health care resource utilization in 3L + patients with chronic phase chronic myeloid leukemia receiving asciminib or bosutinib
Bibliographic record
Abstract
OBJECTIVES: To assess and compare health care resource utilization (HCRU) rates of asciminib and bosutinib at the Week 24, Week 48, and Week 96 cutoffs among 3 L + patients with chronic myeloid leukemia in chronic phase (CML-CP) in the randomized ASCEMBL trial. METHODS: = 76). At each scheduled visit, investigators conducted HCRU assessment on hospitalization, emergency room visit, general practitioner visit, specialist visit and urgent care visit; duration and type of hospitalization for the hospitalized patients; and reasons for HCRU. The number of patients with HCRU, rate of HCRU per patient-year, and length of hospital stay by ward type were compared at Week 24, Week 48, and Week 96 analyses. RESULTS: Lower proportions of patients receiving asciminib versus bosutinib used any resources including hospitalizations, emergency room visits, general practitioner visits, specialist visits, and urgent care visits (23.6% versus 36.8%, 26.1% versus 39.5%, and 28.6% versus 42.6% at Week 24, Week 48, and Week 96 analyses, respectively). After normalizing for treatment exposure, rates of HCRU for any resource per patient-year were significantly lower for asciminib versus bosutinib: 0.25 (95% CI: 0.18-0.34) versus 0.80 (95% CI: 0.55-1.16) at the Week 24 analysis, 0.20 (95% CI: 0.15-0.27) versus 0.47 (95% CI: 0.32-0.66) at the Week 48 analysis, and 0.17 (95% CI: 0.12-0.22) versus 0.40 (95% CI: 0.27-0.55) at the Week 96 analysis. Among the hospitalized patients, mean length of hospital stay was lower for asciminib than bosutinib for most wards at all three timepoints. CONCLUSIONS: In the ASCEMBL trial, asciminib-treated patients with CML-CP in 3 L + maintained lower resource utilization compared to bosutinib over the long-term.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 teacher head, 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".