Progression-Free Survival of Daratumumab Versus Bortezomib Triplet Combination With Lenalidomide and Dexamethasone in Transplant Ineligible Patients With Newly Diagnosed Multiple Myeloma: TAURUS Chart Review Study
Bibliographic record
Abstract
Background : Daratumumab, lenalidomide and dexamethasone (DRd) and bortezomib, lenalidomide and dexamethasone (VRd) are preferred regimens for transplant ineligible (TIE) patients with newly diagnosed multiple myeloma (NDMM). Both DRd and VRd demonstrated superior efficacy vs. Rd in the MAIA and SWOG S0777 trials, respectively, but there is no head-to-head (H2H) clinical trial comparing their efficacy. Differing populations in the MAIA and S0777 trials make an unadjusted comparison of outcomes challenging and biased. The current TAURUS study is the first real-world H2H study comparing progression-free survival (PFS) among TIE NDMM patients treated with DRd or VRd as first-line (1L) in similar clinical settings. Materials and Methods : A multicenter chart review study was conducted at nine sites across the US. All TIE patients treated with DRd and a randomly selected population of VRd patients were included. TIE NDMM patients aged ≥65 were included if they initiated 1L DRd/VRd between January 2019 and September 2021. PFS was defined as the time from DRd/VRd initiation until disease progression or death. A doubly-robust multivariable Cox regression model combined with inverse probability of treatment weighting (IPTW) methodology was used to compare PFS between cohorts. Results : Weighted cohorts comprised 91 DRd and 87 VRd patients. Thirteen DRd and 24 VRd patients experienced progression/death. Patients treated with DRd had a lower risk of progression/death vs. VRd (adjusted hazard ratio: 0.35, 95% confidence interval: [0.17; 0.73]). Conclusion : DRd is associated with a significantly lower risk of disease progression or death compared to VRd as 1L treatment for TIE NDMM patients. Micro-Abstract Daratumumab, lenalidomide, dexamethasone (DRd) and bortezomib, lenalidomide, dexamethasone (VRd) are the preferred first-line regimens for transplant-ineligible newly diagnosed multiple myeloma, but there is no head-to-head study comparing these regimens. This multicenter chart review compared the progression-free survival of DRd vs. VRd as first-line therapy. DRd was associated with a significantly lower risk of disease progression or death compared to VRd.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".