First Line Treatment of Newly Diagnosed Transplant Eligible Multiple Myeloma Recommendations From a Canadian Consensus Guideline Consortium
Bibliographic record
Abstract
The availability of effective therapies for multiple myeloma (MM) has sparked debate on the role of first line autologous stem cell transplantation (ASCT), particularly in standard-risk patients. However, treatment for individuals with high-risk disease continues to display suboptimal outcomes. With novel therapies used earlier, practice is changing rapidly in the field of MM. Presently, quadruplet induction therapy incorporating an anti-CD38 monoclonal antibody to a proteasome inhibitor and an immunomodulatory drug prior to ASCT followed by maintenance therapy stands as the foremost strategy for attaining deep and sustained responses in transplant eligible MM (TEMM). This Canadian Consensus Guideline Consortium (CGC) proposes consensus recommendations for the first line treatment of TEMM. To address the needs of physicians and people diagnosed with MM, this document focuses on ASCT eligibility, induction therapy, mobilization and collection, conditioning, consolidation, and maintenance therapy, as well as, high-risk populations, management of adverse events, assessment of treatment response, and monitoring for disease relapse. The CGC will periodically review the recommendations herein and update as necessary.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".