Management of stage IIIA non-small cell lung cancer (NSCLC): role of the chemotherapy
Bibliographic record
Abstract
Lung cancer is the leading cause of cancer-related death, with an incidence that continues to increase in both sexes and all ages. Roughly 80–90% of lung cancers are non-small cell lung cancer (NSCLC), the remaining 10–20%, small cell lung cancer (SCLC), has seen its frequency going down globally over the two past twenty years. Adenocarcinoma is the most common histologic subtype of lung cancer in men and women in US, Canada, many European countries and Japan. Nearly 30% of patients with (NSCLC) will get diagnosed with early-stage (I-IIIA) and in spite of radical surgery the survival remains rather poor. Stage IIIA NSCLC is a very heterogeneous group, encompassing small primary T1a tumors with mediastinal lymph nodes (N2) to locally advanced T4 disease with or without any nodal involvement. Treatment remains challenging hence the need for a multidisciplinary management for all these cases. Oncologist, radiation oncologist and surgeon are essential to deliver the best possible care in this context. Here we have reviewed the evidence about the management of stage IIIA, with particular emphasis on the chemotherapy treatment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".