Definitive and Adjuvant Radiotherapy in Locally Advanced Non–Small-Cell Lung Cancer: American Society of Clinical Oncology Clinical Practice Guideline Endorsement of the American Society for Radiation Oncology Evidence-Based Clinical Practice Guideline
Bibliographic record
Abstract
PURPOSE: The American Society for Radiation Oncology (ASTRO) produced an evidence-based guideline on external-beam radiotherapy for patients with locally advanced non-small-cell lung cancer (NSCLC). Because of its relevance to the American Society of Clinical Oncology (ASCO) membership, ASCO endorsed the guideline after applying a set of procedures and a policy that are used to critically examine and endorse guidelines developed by other guideline development organizations. METHODS: The ASTRO guideline was reviewed by ASCO content experts for clinical accuracy and by ASCO methodologists for developmental rigor. On favorable review, an ASCO expert panel was convened and endorsed the guideline. The ASCO guideline approval body, the Clinical Practice Guideline Committee, approved the final endorsement. RESULTS: The recommendations from the ASTRO guideline, published in Practical Radiation Oncology, are clear, thorough, and based on the most relevant scientific evidence. The ASCO Endorsement Panel endorsed the guideline and added qualifying statements. RECOMMENDATIONS: For curative-intent treatment of locally advanced NSCLC, concurrent chemoradiotherapy improves local control and overall survival compared with sequential chemotherapy followed by radiation. The standard dose-fractionation of radiation is 60 Gy given in 2-Gy once-daily fractions over 6 weeks. There is no role for the routine use of induction therapy before chemoradiotherapy. Current data fail to support a clear role for consolidation therapy after chemoradiotherapy; however, consolidation therapy remains an option for patients who did not receive full systemic chemotherapy doses during radiotherapy. Important questions remain about the ideal concurrent chemotherapy regimen and optimal management of patients with resectable stage III disease.
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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 | 0.025 | 0.095 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.005 |
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".