Impact of renal impairment on outcomes with lenalidomide and dexamethasone treatment in the FIRST trial, a randomized, open-label phase 3 trial in transplant-ineligible patients with multiple myeloma
Bibliographic record
Abstract
Renal impairment is associated with poor prognosis in myeloma. This analysis of the pivotal phase 3 FIRST trial examined the impact of renally adapted dosing of lenalidomide and dexamethasone on outcomes of patients with different degrees of renal impairment. Transplant-ineligible patients not requiring dialysis were randomized 1:1:1 to receive continuous lenalidomide and dexamethasone until disease progression (n=535) or for 18 cycles (72 weeks; n=541), or melphalan, prednisone, and thalidomide for 12 cycles (72 weeks; n=547). Follow-up is ongoing. Patients were grouped by baseline creatinine clearance into no (≥ 80 mL/min [n=389]), mild (≥ 50 to < 80 mL/min [n=715]), moderate (≥ 30 to < 50 mL/min [n=372]), and severe impairment (< 30 mL/min [n=147]) subgroups. Continuous lenalidomide and dexamethasone therapy reduced the risk of progression or death in no, mild, and moderate renal impairment subgroups vs. melphalan, prednisone, and thalidomide therapy (HR = 0.67, 0.70, and 0.65, respectively). Overall survival benefits were observed with continuous lenalidomide and dexamethasone treatment vs. melphalan, prednisone, and thalidomide treatment in no or mild renal impairment subgroups. Renal function improved from baseline in 52.6% of lenalidomide and dexamethasone-treated patients. The safety profile of continuous lenalidomide and dexamethasone was consistent across renal subgroups, except for grade 3/4 anemia and rash, which increased with increasing severity of renal impairment. Continuous lenalidomide and dexamethasone treatment, with renally adapted lenalidomide dosing, was effective for most transplant-ineligible patients with myeloma and renal impairment. Trial registration: ClinicalTrials.gov (NCT00689936); EudraCT (2007-004823-39). Funding: Intergroupe Francophone du Myélome and the Celgene Corporation.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".