Efficacy of pemetrexed-cisplatin (PC) in East Asian patients (pts): Subgroup analysis of a phase III study comparing PC versus gemcitabine-cisplatin (GC) in first-line treatment of advanced non-small cell lung cancer (NSCLC)
Bibliographic record
Abstract
8045 Background: East Asian ethnicity is a recognized favorable prognostic factor in the treatment of NSCLC in trials with either chemotherapy or EGFR tyrosine-kinase inhibitors (TKIs). In a global phase III study (Scagliotti JCO 2008), superior efficacy of PC was shown for pts with nonsquamous NSCLC, while Asian ethnicity was prognostic in the overall population. The purpose of this analysis is to describe the patient and disease characteristics of the East Asian pts enrolled in this study and assess efficacy according to histology and smoking history. Methods: This retrospective analysis of a large phase III study included only patients enrolled from Korea and Taiwan. For survival and progression-free survival (PFS), Cox-adjusted analyses were used to estimate the hazard ratio and 95% CI, while medians were estimated using Kaplan-Meier method. Results: Results for PFS and response rate showed trends similar to overall survival in East Asian pts, favoring PC therapy in nonsquamous pts. The use of post-discontinuation targeted therapies such as EGFR-TKIs was similar between treatment arms in the overall population and in nonsquamous pts. In East Asian pts, EGFR-TKI use was slightly higher in the GC arm, in both the overall population and in nonsquamous pts. In a further subgroup analysis defined by smoking status, East Asian nonsquamous pts treated with PC had longer survival (not statistically significant). Conclusions: Pt and disease characteristics between the East Asian subgroup and the overall population were similar, with notable differences in the percentage of pts with no smoking history and the greater use of EGFR-TKIs as post-discontinuation therapy. This analysis shows the improved efficacy outcomes for East Asian nonsquamous pts treated with PC is consistent with the previously observed treatment effect of PC on nonsquamous NSCLC. [Table: see text] [Table: see text]
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".