Bortezomib and high-dose melphalan as conditioning regimen before autologous stem cell transplantation in patients with de novo multiple myeloma: a phase 2 study of the Intergroupe Francophone du Myélome (IFM)
Bibliographic record
Abstract
Autologous stem cell transplantation (ASCT) is recommended for younger patients with newly diagnosed multiple myeloma. Achieving complete response (CR) or at least very good partial response (VGPR) is a major prognostic factor for survival with 20% to 30% of patients achieving CR after ASCT. Bortezomib has shown synergistic effects with melphalan and no prolonged hematologic toxicity. In this Intergroupe Francophone du Myélome (IFM) phase 2 study, 54 untreated patients were enrolled between July and December 2007 to receive bortezomib (1 mg/m(2) x 4) and melphalan (200 mg/m(2)) as conditioning regimen (Bor-HDM). Overall, 70% of patients achieved at least VGPR, including 17 patients with CR (32%) after ASCT. No toxic deaths were observed. Bortezomib did not increase hematologic toxicity. Only 1 grade 3 to 4 peripheral neuropathy was reported. A matched control analysis was conducted comparing our cohort with patients from the IFM 2005-01 trial (HDM alone). Patients were matched for response to induction therapy and type of induction: CR was higher in the Bor-HDM group (35% vs 11%; P = .001), regardless of induction therapy. These results suggest that Bor-HDM is a safe and promising conditioning regimen. Randomized studies are needed to assess whether this conditioning regimen is superior to HDM alone. This trial was registered at www.clinicaltrials.gov as NCT00642395.
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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".