Quality-adjusted Outcomes Stratified by Response in Patients With Advanced Non–Small-cell Lung Cancer Receiving First-line nab-Paclitaxel/Carboplatin or Paclitaxel/Carboplatin
Bibliographic record
Abstract
BACKGROUND: First-line nab-paclitaxel/carboplatin was associated with a significantly improved overall response rate (primary endpoint) versus paclitaxel/carboplatin in a phase III trial of advanced non-small-cell lung cancer (NSCLC). We report the results of an analysis evaluating the correlation of response and the time to response with survival and quality-adjusted outcomes. PATIENTS AND METHODS: Using a landmark approach, progression-free survival (PFS), overall survival (OS), and quality-adjusted time without symptoms or toxicity (Q-TWiST) were compared between patients with a confirmed partial or complete response at or before 6 weeks (≤ 6-week responders) and those without (≤ 6-week nonresponders). The outcomes were also analyzed in two 12-week landmark analyses: ≤ 12-week responders versus ≤ 12-week nonresponders and early responders (≤ 6 weeks) versus late responders (6-12 weeks) versus ≤ 12-week nonresponders. RESULTS: The median OS and PFS for the ≤ 6-week responders versus ≤ 6-week nonresponders were 14.5 versus 10.3 months (P < .001) and 5.5 versus 4.5 months (P = .002), respectively. The ≤ 6-week responders gained 2.1 months of mean Q-TWiST. The median OS and PFS for the ≤ 12-week responders versus ≤ 12-week nonresponders were 16.3 versus 8.4 months and 5.3 versus 2.8 months (both P < .001), respectively, and the ≤ 12-week responders gained 3.2 months of mean Q-TWiST. The median OS was 13.1, 16.6, and 8.4 months (P < .001), the median PFS was 4.1, 6.7, and 2.8 months (P < .001), and the mean Q-TWiST was 10.2, 11.7, and 7.8 months for the early responders, late responders, and ≤ 12-week nonresponders, respectively. Both early and late responders had significantly longer Q-TWiST compared with the ≤ 12-week nonresponders (difference, +2.4 and +3.9 months, respectively; P < .05). CONCLUSION: These results underscore response as an important surrogate for assessment of long-term treatment outcomes in advanced NSCLC.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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 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".