Pomalidomide plus low-dose dexamethasone in patients with relapsed/refractory multiple myeloma and moderate renal impairment: a pooled analysis of three clinical trials
Bibliographic record
Abstract
Renal impairment (RI) is a major comorbidity in patients with multiple myeloma (MM). Here we present the pooled safety and efficacy analysis of three clinical trials (MM-002, MM-003, and MM-010) of pomalidomide + low-dose dexamethasone (POM + LoDEX) in patients with moderate RI (creatinine clearance [CrCl] ≥ 30 to <60 mL/min) and without RI (≥ 60 mL/min). Trial protocols were approved by the institutional review board of each site involved. Patients with RI were older than patients without RI, although other baseline characteristics were similar. The dosing and safety profile of POM + LoDEX was similar across RI subgroups. Median overall response rate, progression-free survival, time to progression, and duration of response were not significantly different between RI subgroups. However, patients with vs. without RI had significantly shorter median overall survival (10.5 vs. 14.0 months, respectively; p = .004). This analysis demonstrates that POM + LoDEX is a safe and effective treatment for patients with moderate RI. The trials were registered at ClinicalTrials.gov as NCT00833833 (MM-002), NCT01311687 (MM-003), and NCT01712789 (MM-010) and at EudraCT as 2010-019820-30 (MM-003) and 2012-001888-78 (MM-010).
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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 | 0.015 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.015 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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 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".