Final Results of a Phase 2 Multi‐Arm Study of Magrolimab Combinations in Patients With Relapsed/Refractory Multiple Myeloma
Bibliographic record
Abstract
Introduction: Patients with pretreated relapsed/refractory multiple myeloma (RRMM) have a poor prognosis and limited treatment options, underscoring the need for safe treatments with durable efficacy. Methods: This Phase 2 study evaluated magrolimab (Magro) plus daratumumab (Dara) or pomalidomide/dexamethasone (Pd) or carfilzomib/dexamethasone (Kd) in RRMM. The primary efficacy endpoint was objective response rate (ORR). Results: = 11). There were two dose-limiting toxicities: febrile neutropenia (Magro+Dara) and infusion-related reaction (Magro+Pd). Grade ≥ 3 Magro-related adverse event (AE) rates were 64.3% (Magro+Dara), 60.0% (Magro+Pd) and 63.6% (Magro+Kd). Two deaths were AE-related; neither was Magro related. Conclusion: As the study closed early, insights into the clinical profile of Magro combinations in RRMM are limited. Trial Registration: This trial was registered at www.clinicaltrials.gov as #NCT04892446.
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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 | 0.001 |
| 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".