Perspectives on Treatment Advances for Stage III Locally Advanced Unresectable Non-Small-Cell Lung Cancer
Bibliographic record
Abstract
For more than a decade, there has been no improvement in outcomes for patients with unresectable locally advanced (la) non-small-cell lung cancer (nsclc). The standard treatment in that setting is definitive concurrent chemotherapy and radiation (ccrt). Although the intent of treatment is curative, most patients rapidly progress, and their prognosis is poor, with a 5-year overall survival (os) rate in the 15%-25% range. Those patients therefore represent a critical unmet need, warranting expedited approval of, and access to, new treatments that can improve outcomes. The pacific trial, which evaluated durvalumab consolidation therapy after ccrt in unresectable la nsclc, demonstrated a statistically significant and clinically meaningful improvement in progression-free survival (pfs) and a significant improvement in os. Durvalumab thus fills a critical unmet need in the setting of unresectable la nsclc and provides a new option for patients treated with curative intent. Here, we review the treatment of unresectable la nsclc, with a focus on the effect of the clinical data for durvalumab.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".