Economic burden of relapsed or refractory multiple myeloma: Results from an international trial
Bibliographic record
Abstract
OBJECTIVE: The direct cost of relapsed or refractory multiple myeloma (RRMM) is documented; indirect costs are being explored. Healthcare payers seek cost-offsets from therapies that improve clinical outcomes but challenge budgets; employers seek lower absenteeism and better productivity. Study goals were to: (i) identify direct and indirect economic factors of RRMM, and (ii) explore longitudinal relationships between clinical, economic, and health-related quality of life (HRQoL) assessments. METHODS: Economic questionnaire, clinical, and HRQoL data from a multisite, international, randomized, controlled study in RRMM were analyzed. RESULTS: Patients (n=263) were 53.6% male, 91.6% Caucasian; mean age of 62.9 years, median Eastern Cooperative Oncology Group status of 1 (56.3%). Moderate to severe pain or fatigue was reported by 30.4% and 70.6%, respectively. At baseline, ≥1 hospitalization was reported by 107 (41.8%); 182 (71.1%) and 86 (33.6%) reported specialist and family physician visits, respectively. A total of 28 (10.8%) were working: 10 (37.0%) of which reported RRMM-driven absenteeism ≥1 day. Of those who were not working, 110 (48.2%) indicated that it was due to RRMM. Multivariate modeling showed lower hospitalization with a major tumor response (β=-1.44, CI: -2.89 to 0.01, P=.05). CONCLUSIONS: Substantial RRMM indirect, social costs were observed. Better major tumor response may reduce hospital visits.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".