Trends in Utilization and Outcomes of Autologous Transplantation as Early Therapy for Multiple Myeloma
Bibliographic record
Abstract
The impact of novel drugs for treating multiple myeloma (MM) on the utilization and outcomes of autologous hematopoietic progenitor cell transplantation (AHPCT) is unknown. We reviewed characteristics and outcomes of 20,278 patients who underwent AHPCT within 12 months of diagnosis of MM in the United States and Canada and registered at the Center for International Blood and Marrow Transplant Research (CIBMTR) in 3 time cohorts reflecting the increasing availability of novel drugs: 1995 to 1999 (n = 2226), 2000 to 2004 (n = 6408), and 2005 to 2010 (n = 11,644). In the United States, the number of AHPCTs performed increased at a greater rate than new MM cases. Patients in recent cohorts were older, less likely to have stage 3 MM, and more likely to have received previous thalidomide, lenalidomide, or bortezomib. On multivariate analysis, AHPCT in the 2000 to 2004 cohort (HR = 0.77) or in the 2005 to 2010 cohort (HR = 0.68) were associated with lower risk of death. Survival at 60 months post-AHPCT improved from 47% in 1995 to 1999 to 55% in 2000 to 2004 and to 57% in 2005 to 2010, owing less to improvement in progression-free survival (50% versus 55% versus 57% at 24 months) than to postrelapse/progression survival (58% versus 65% versus 72% at 24 months). AHPCT and new biological agents are complementary, nonredundant therapies and should be combined in the management of MM in suitable patients.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".