Time to response, duration of response, and patient-reported outcomes (PROs) with daratumumab (DARA) plus lenalidomide and dexamethasone (D-Rd) versus lenalidomide and dexamethasone (Rd) alone in transplant-ineligible patients with newly diagnosed multiple myeloma (NDMM): Subgroup analysis of the phase 3 MAIA study.
Bibliographic record
Abstract
8044 Background: In the phase 3 MAIA study, adding DARA to Rd improved progression-free survival (primary endpoint), overall survival, duration of response, and PROs in transplant-ineligible pts with NDMM. We report a MAIA subgroup analysis of time to response, duration of response, and PROs. Methods: Transplant-ineligible pts with NDMM received 28-day cycles of Rd (R 25 mg PO on Days 1-21; d 40 mg PO QW) ± DARA (16 mg/kg IV QW in Cycles 1-2, Q2W in Cycles 3-6, and Q4W thereafter) until disease progression or unacceptable toxicity. Secondary endpoints included time to response and duration of response. PROs were measured using the EORTC QLQ-C30, with treatment effects assessed via mixed-effects model with repeated measures. Results: In total, 368 pts were assigned to the D-Rd group and 369 pts to the Rd group; 162 (44%) D-Rd pts and 142 (38%) Rd pts had renal impairment (defined as baseline CrCl ≤60 mL/min). At a 56.2-mo median follow-up, median times to very good partial response or better (≥VGPR) and complete response or better (≥CR) were shorter with D-Rd vs Rd in the overall study population and in the subgroups of pts with and without renal impairment (Table). Among pts who achieved ≥CR or partial response or better (≥PR), higher proportions of D-Rd vs Rd pts had not experienced disease progression at 48 mo (Table). Among pts with renal impairment, greater improvements from baseline in pt-reported pain, fatigue, and nausea and vomiting symptom scores were observed with D-Rd vs Rd across most timepoints; a notably greater meaningful reduction in pain symptom score was seen with D-Rd vs Rd as early as Cycle 6 Day 1 (least squares mean change from baseline, −14.9 vs −7.0; P=0.0241). Analyses for additional pt subgroups will be presented. Conclusions: In transplant-ineligible pts with NDMM, D-Rd showed more rapid deep responses as well as more durable responses vs Rd, regardless of renal function. Improvements in pt-reported symptoms were generally greater with D-Rd vs Rd in pts with renal impairment. Our results support the use of D-Rd in transplant-ineligible pts with NDMM. Clinical trial information: NCT02252172. [Table: see text]
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".