Disease Characteristics and Outcomes of 493 Young Myeloma Patients Treated With Modern Therapies: A Canadian Myeloma Research Group Database Study
Bibliographic record
Abstract
BACKGROUND: Young patients ≤ 50 years old with multiple myeloma (MM) account for about 10% of cases and are underrepresented in the literature. METHODS: We explored disease characteristics, treatments, and outcomes following modern therapies of young MM patients using the Canadian Myeloma Research Group (CMRG) database. We included 493 patients ≤ 50 years old diagnosed with MM or plasma cell leukemia without concurrent amyloidosis or POEMS syndrome from January 1, 2010, to July 1, 2022. RESULTS: The median age was 46 years old (range: 25.6-50). Most patients fell into the R-ISS II category (72.7%), and 24.1% had high-risk cytogenetics. The majority of patients (89.9%) received a proteasome inhibitor-based first-line treatment, 92.1% received a stem cell transplant, and 65.6% had maintenance therapy post-autologous stem cell transplant (ASCT). Median follow-up from initial treatment to patients' last follow-up was 48.5 (range: 0-155) months. Median progression-free survival (PFS) was 45.0 months (95% CI: 40.2-50.0). Maintenance therapy post-ASCT improved median PFS to 52.3 months (95% CI: 43.1-68.2), compared to 23.6 months (95% CI: 20.0-34.8) without maintenance [p < 0.001]. CONCLUSION: Although the overall survival has not yet been reached in this young population, our reported median PFS of only 45 months highlights the urgent need to develop innovative treatments to induce more profound and durable responses.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".