Weekly nab-Paclitaxel in Combination With Carboplatin as First-Line Therapy in Patients With Advanced Non–Small-Cell Lung Cancer: Analysis of Safety and Efficacy in Patients With Diabetes
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Bibliographic record
Abstract
PURPOSE: To examine outcomes in a phase 3 trial of nab-paclitaxel plus carboplatin (nab-P/C) versus solvent-based paclitaxel plus carboplatin (sb-P/C) in a subset of patients with advanced non-small-cell lung cancer (NSCLC) and diabetes. PATIENTS AND METHODS: on day 1, both with C at an area under the curve of 6 mg·min/mL on day 1 every 3 weeks. Overall response rate (ORR) and progression-free survival (PFS) were determined by blinded, independent, centralized review. P values were based on chi-square test for ORR and log-rank test for overall survival (OS) and PFS. RESULTS: Of the 1052 randomized patients in the phase 3 trial, 61 had diabetes according to prespecified terms (nab-P/C, 31; sb-P/C, 30). ORR for nab-P/C versus sb-P/C in this subset was 52% versus 27% (relative risk ratio, 1.935; P = .046), median PFS was 10.9 versus 4.9 months (hazard ratio, 0.420; P = .016), and median OS was 17.5 versus 11.1 months (hazard ratio, 0.550; P = .057). Treatment differences in PFS remained significant (P ≤ .036) after adjusting for histology, region, stage, race, and age and also remained significant in OS for histology (P = .039). Patients with diabetes experienced lower rates of grade 3 or higher neutropenia and peripheral neuropathy and higher rates of thrombocytopenia and anemia with nab-P/C versus sb-P/C. CONCLUSION: nab-P/C demonstrated improved efficacy and manageable tolerability in patients with advanced NSCLC and diabetes.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it