Healthcare resource utilization and costs associated with first-line ibrutinib compared to chemoimmunotherapy treatment among Medicare beneficiaries with chronic lymphocytic leukemia
Bibliographic record
Abstract
OBJECTIVE: This retrospective observational study aimed to compare healthcare resource utilization and costs of Medicare beneficiaries with chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma (SLL) who received ibrutinib versus chemoimmunotherapy (CIT) in first line (1 L). METHODS: Fee-for-service (FFS) and Medicare Advantage (MA) claims data were used to identify adults with a CLL/SLL diagnosis initiating 1 L ibrutinib single agent or CIT between 4 March 2016 and 30 September 2017 (index date). HRU and costs (Medicare spending) were evaluated during 1 L Oncology Care Model (1 L OCM) episodes (the first six months post-index) and over the observed 1 L duration. Patients' baseline characteristics were balanced using inverse probability of treatment weighting. Mean monthly cost differences (MMCDs) obtained from ordinary least square regressions were used to compare costs between ibrutinib and CIT cohorts. RESULTS: = 303), ibrutinib was also associated with a monthly total healthcare cost reduction (1 L OCM: MMCD=-$10,459; 1 L duration: MMCD=-$5492). CONCLUSIONS: In Medicare patients with CLL/SLL, 1 L ibrutinib single agent was associated with total monthly cost savings relative to 1 L CIT, driven by lower monthly medical costs that fully offset higher monthly pharmacy costs.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".