Isatuximab–pomalidomide–dexamethasone vs. pomalidomide–dexamethasone in patients with relapsed and refractory multiple myeloma: final overall survival analysis
Bibliographic record
Abstract
Abstract The primary and pre-specified updated analyses of ICARIA-MM (NCT02990338) demonstrated improved progression-free survival and a benefit in overall survival (OS) was reported with the addition of isatuximab, an anti-CD38 monoclonal antibody, to pomalidomide–dexamethasone (Pd) in patients with relapsed/refractory multiple myeloma. Here, we report the final OS analysis. This multicenter, randomized, open-label, phase 3 study included patients who had received and failed ≥2 previous lines of therapy, including lenalidomide and a proteasome inhibitor. Between January 10, 2017, and February 2, 2018, 307 patients were randomized (1:1) to isatuximab–pomalidomide–dexamethasone (Isa-Pd; n= 154) or Pd (n = 153), stratified based on age (<75 vs. ≥75 years) and number of previous lines of therapy (2–3 vs. >3). At data cutoff for the final OS analysis after 220 OS events (January 27, 2022), median follow-up duration was 52.4 months. Median OS (95% confidence interval) was 24.6 months (20.3–31.3 months) with Isa-Pd and 17.7 months (14.4–26.2 months) with Pd (hazard ratio = 0.78; 95% CI, 0.59–1.02; 1-sided P = 0.0319). This analysis showed a clinically meaningful, continued OS benefit with Isa-Pd, which is well tolerated after follow-up of approximately 52 months in patients with relapsed/refractory multiple myeloma. Trial registration: ClinicalTrials.gov, number NCT02990338
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".