Switching to daratumumab SC from IV is safe and preferred by patients with multiple myeloma
Bibliographic record
Abstract
INTRODUCTION: Two phase 3 studies demonstrated superior efficacy of intravenous daratumumab (DARA IV) plus bortezomib/melphalan/prednisone (ALCYONE) or lenalidomide/dexamethasone (Rd; MAIA) versus standard-of-care regimens for transplant-ineligible newly diagnosed multiple myeloma. In these studies, patients could switch from DARA IV to subcutaneous daratumumab (DARA SC) while receiving daratumumab monotherapy in ALCYONE (as of Cycle 11) or daratumumab plus Rd in MAIA. The phase 3 COLUMBA study demonstrated noninferiority of DARA SC to DARA IV. DARA SC reduced administration time, allowing patients to spend less time in healthcare settings, a relevant practical consideration for patient care in the COVID-19 pandemic/settings of limited healthcare resources. METHODS: DARA SC 1800 mg was administered every 4 weeks, per approved dosing schedules. We evaluated safety and patient-reported experience (ALCYONE only) among patients who switched from DARA IV to DARA SC. RESULTS: Fifty-seven patients in ALCYONE and 135 in MAIA switched to DARA SC. Three (2.2%; MAIA) patients reported injection-site reactions, all of which were mild. No infusion-related reactions occurred with DARA SC. In ALCYONE, >80% of patients preferred DARA SC over DARA IV. Grade 3/4 treatment-emergent adverse events (TEAEs) occurred in 5.3% of patients in ALCYONE and 25.9% in MAIA; one (0.7%; MAIA) patient experienced a TEAE with an outcome of death. CONCLUSION: For transplant-ineligible newly diagnosed multiple myeloma, DARA SC (monotherapy/with Rd) was safe and preferred over DARA IV. ClinicalTrials.gov, NCT02195479/NCT02252172.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".