Three-Year Safety, Tolerability, and Health-Related Quality of Life Outcomes of Adjuvant Osimertinib in Patients With Resected Stage IB to IIIA EGFR-Mutated NSCLC: Updated Analysis From the Phase 3 ADAURA Trial
Bibliographic record
Abstract
INTRODUCTION: In ADAURA, adjuvant osimertinib significantly improved disease-free survival versus placebo in resected stage IB to IIIA EGFR-mutated NSCLC. We report in-depth analyses of three-year safety, tolerability, and health-related quality of life (HRQoL) from ADAURA. METHODS: Patients were randomized 1:1 to osimertinib 80 mg or placebo once daily for up to 3 years. Safety assessments were performed at baseline, week 2, week 4, week 12, and every 12 weeks until treatment completion or discontinuation, and 28 days after treatment was stopped. The SF-36 survey measured HRQoL at baseline, week 12, week 24, and every 24 weeks until recurrence, treatment completion or discontinuation. Data cutoff: April 11, 2022. RESULTS: Safety and HRQoL analysis sets: osimertinib, n = 337 and n = 339; placebo, n = 343 each. Median (range) total exposure duration was longer with osimertinib versus placebo: 35.8 (0-38) versus 25.1 (0-39) months. Most adverse events (AEs) were first reported within 12 months of starting treatment (osimertinib 97%, placebo 86%). AEs leading to dose reduction, interruption or discontinuation were reported in 12%, 27% and 13% respectively of patients with osimertinib; 1%, 13% and 3% with placebo. Stomatitis and diarrhea were the most common AEs leading to osimertinib dose reduction or interruption; interstitial lung disease was the most common leading to osimertinib discontinuation (per protocol). There were no differences in time to deterioration for SF-36 physical, mental component summaries between osimertinib and placebo. CONCLUSIONS: No new safety signals were reported and HRQoL was maintained with 3 years of adjuvant osimertinib treatment. Combined with significant efficacy benefit, these data further support adjuvant osimertinib in stage IB to IIIA EGFR-mutated 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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".