Impact of lenalidomide-bortezomib-dexamethasone induction on patients with newly diagnosed multiple myeloma and renal impairment: Results from the Connect® MM Registry
Bibliographic record
Abstract
Limited data exist on the effects of induction treatment in patients with newly diagnosed multiple myeloma (NDMM) and renal impairment (RI), who may also be ineligible for autologous stem cell transplant. This analysis investigated the impact of lenalidomide-bortezomib-dexamethasone (RVd) induction on renal function in patients from the Connect® MM Registry based on transplant status. Eligible patients were aged ≥18 years with symptomatic MM diagnosed ≤2 months before enrollment. Patients in this analysis received front-line RVd for ≥3 cycles and were grouped by transplant status and baseline renal function. As of August 4, 2021, 344 transplanted and 289 non-transplanted patients had received RVd for ≥3 cycles at induction. Improved renal function was observed at 3, 6, and 12 months in patients with all severities of RI at baseline. In patients with >60 and ≤60 creatinine clearance mL/min at baseline, median progression-free survival was 49.4 months and 47.6 months in transplanted patients and 35.7 months and 29.1 months in non-transplanted patients, respectively. These results provide real-world evidence that patients with NDMM and RI who receive front-line RVd for ≥3 cycles may have improved renal function regardless of transplant status, with renal function no longer affecting the long-term outcome. Clinical trial information: NCT01081028.
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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 | 0.001 |
| 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 | 0.001 |
| 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".