Patient-reported outcomes from FLAURA: Osimertinib versus erlotinib or gefitinib in patients with EGFR-mutated advanced non-small-cell lung cancer
Bibliographic record
Abstract
BACKGROUND: In the FLAURA trial, osimertinib demonstrated superior progression-free survival and a favorable toxicity profile to erlotinib or gefitinib as initial therapy in patients with EGFR-mutated advanced non-small-cell lung cancer. Patient-reported outcomes from FLAURA are discussed here. METHODS: Patients (N = 556) completed the EORTC QLQ-LC13 weekly for 6 weeks, then every 3 weeks, and the QLQ-C30 every 6 weeks. Prespecified key symptoms were cough, dyspnea, chest pain, appetite loss, and fatigue. Score changes from baseline to randomized treatment discontinuation were assessed using a mixed-effects model. A ≥10-point change was considered clinically relevant. Odds of improvement and time to deterioration were investigated. QLQ-C30 functioning scores were assessed post hoc. RESULTS: Questionnaire completion rates were >70% at most time points. Baseline mean scores were similar in the osimertinib and erlotinib/gefitinib arms. Scores improved in both arms, but none reached clinical relevance at 5% significance level. A statistically significant difference favoring osimertinib for chest pain was not clinically relevant (-6.84 vs -3.88; p = 0.021). Odds of improvement and time to deterioration were similar between treatments. In post hoc analyses, improvements favored osimertinib for emotional functioning (8.79 vs 4.91; p = 0.004) and social functioning (7.66 vs 1.74; p < 0.001). Cognitive functioning remained stable with osimertinib but deteriorated with erlotinib/gefitinib (0.03 vs -3.91; p = 0.005). CONCLUSIONS: Key symptoms improved from baseline in both treatment arms in FLAURA. Key symptom improvements that were both statistically significant and clinically relevant were not observed in favor of either treatment arm. CLINICAL TRIAL REGISTRATION: NCT02296125.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".