Summary of Research: Overall Survival with Osimertinib in Resected EGFR-Mutated NSCLC
Bibliographic record
Abstract
This is a summary of the original article ‟Overall survival with osimertinib in resected EGFR-mutated NSCLC.ˮ Osimertinib blocks the activity of the epidermal growth factor receptor (EGFR) on cancer cells, causing cancer cell death and tumor shrinkage, and is an effective treatment for EGFR-mutated non-small cell lung cancer (NSCLC). The ADAURA study assessed the effects of osimertinib versus placebo in patients with EGFR-mutated (exon 19 deletion or L858R) early stage (IB-IIIA) NSCLC removed by surgery (resected). Previous results from ADAURA demonstrated that patients treated with osimertinib stayed alive and cancer-free (disease-free survival) significantly longer than patients who received placebo. Recent data showed the overall length of time patients were alive after starting treatment (overall survival). In both the primary stage II-IIIA and overall stage IB-IIIA populations, patients in the osimertinib group had a significant 51% reduction in the risk of death compared with the placebo group. The data demonstrated that osimertinib after surgery significantly improved overall survival in patients with resected, EGFR-mutated, stage IB-IIIA NSCLC.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.007 |
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".