Novel agents improve survival of transplant patients with multiple myeloma including those with high-risk disease defined by early relapse (<12 months)
Bibliographic record
Abstract
The treatment of multiple myeloma (MM) has changed with the advent of thalidomide, bortezomib, and lenalidomide, the so-called novel agents (NAs). Given the complexity of MM therapy in the NA era we pursued a population based study to assess for improvements in survival as well as to characterize the relevance of early relapse (within 12 months) and the International Staging System in this clinical setting. We reviewed our experience with 460 patients with MM treated with autologous stem cell transplant (ASCT) between 1988 and 2008, of whom 306 had relapsed. The cohort was divided into two groups based upon relapse pre-2004 and relapse during/after 2004 (2004+), which correlated to availability of bortezomib and lenalidomide. Improvements in both overall survival (OS) (median 32.0 months vs. 71.8 months; p < 0.001) and post-relapse survival (PRS) (median 15.2 months vs. 42.8 months; p < 0.001) correlated with the NA era. Exposure to NAs conferred a better PRS (median 35.7 months vs. 9.1 months; p < 0.001). Although all patients had improvements in survival, those who relapsed late continued to do better. Lastly, in the NA era, the ISS remains an important prognostic tool in relapse, but only in the late relapsing cohort.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".