Weekly nab-paclitaxel in combination with carboplatin as first-line therapy in elderly patients (pts) with advanced non-small cell lung cancer (NSCLC).
Bibliographic record
Abstract
7590 Background: The median age of advanced NSCLC pts in the US is 71 years; yetelderly pts (≥70 years) are generally undertreated, with only ≈30% receiving systemic therapy. Hence, better, more tolerable therapeutic options are needed for this cohort. In a phase III trial nab-paclitaxel (nab-P, 130 nm albumin-bound paclitaxel particles) + carboplatin (C) vs solvent-based paclitaxel (sb-P) + C, significantly improved ORR, the primary endpoint (25% vs 33%, P = 0.005), with a 1-month improvement in OS (P = NS) and improved safety. This analysis evaluated efficacy and safety in pts ≥70 and <70 years old. Methods: Pts with untreated stage IIIB/IV NSCLC and with an ECOG score of 0/1 were randomized 1:1 (stratified by age [≥70 vs <70 years], region, stage, gender, and histology) to C AUC 6 day 1 and either nab-P 100 mg/m2 on days 1, 8, 15 or sb-P 200 mg/m2 day 1 q 21 days. ORR and progression-free survival (PFS) were determined by blinded centralized review. Results: Of the phase III study population, 15% were elderly (156/1052; 74 pts in the nab-P/C and 82 in the sb-P/C arms). Most elderly pts were male (72%), Caucasian (71%), and had stage IV disease (64%). In pts both ≥70 and <70 years old, ORR was higher in the nab-P/C vs sb-P/C arm (≥70: 34% vs 24%, P = 0.196; <70: 32% vs 25%, P = 0.013). In pts ≥70 years old, PFS trended in favor of nab-P/C (median 8.0 vs 6.8 months, HR: 0.687, P = 0.134); OS was significantly improved (median 19.9 vs 10.4 months, HR: 0.583, P = 0.009). In contrast, PFS (6.0 vs 5.8 median months, HR: 0.903, P = 0.256) and OS (11.4 vs 11.3 median months, HR: 0.999, P = 0.988) were similar for both treatment arms in pts <70 years old. Adverse events were similar in pts ≥70 years old vs the entire study population, with less grade 3/4 neutropenia (P < 0.05) and neuropathy (P < 0.05) and increased thrombocytopenia (P = NS) and anemia (P < 0.05) in the nab-P/C vs sb-P/C arms. In pts ≥70 years old, patient-reported FACT-taxane subscales revealed significantly less neuropathy, pain, and hearing loss in the nab-P/C vs sb-P/C arms (P < 0.001). Conclusions: In elderly pts with advanced NSCLC, nab-P/C as first-line therapy was well tolerated and led to improved ORR and PFS, with significantly longer OS vs sb-PC.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".