Real-World Effectiveness of Nivolumab Monotherapy After Prior Systemic Therapy in Advanced Non–Small-Cell Lung Cancer in the United States
Bibliographic record
Abstract
BACKGROUND: In phase 3 clinical trials, nivolumab prolonged overall survival (OS) compared to chemotherapy in patients with previously treated advanced non-small-cell lung cancer (NSCLC). This retrospective real-world study evaluated OS in patients receiving nivolumab for previously treated advanced NSCLC primarily in US community hospitals. PATIENTS AND METHODS: Patient data were taken from electronic health records in the Flatiron Health oncology database. OS was evaluated in patients receiving nivolumab monotherapy for nonsquamous or squamous advanced NSCLC after prior chemotherapy; subgroup analyses were performed by Eastern Cooperative Oncology Group performance status (ECOG PS), age, and other baseline characteristics. Cox analysis was used to determine OS predictors. RESULTS: Of 3019 included patients, 1968 (65%) had nonsquamous and 1051 (35%) had squamous histology. In both cohorts, approximately 20% of patients had a verified ECOG PS ≥ 2, and > 25% were aged ≥ 75 years. For all patients, median OS in the nonsquamous and squamous cohorts was 8.6 months (95% confidence interval [CI], 8.0-9.3) and 7.4 months (95% CI, 6.8-8.5), respectively; for those with ECOG PS 0-1, median OS was 10.8 months (95% CI, 9.8-11.8) and 8.7 months (95% CI, 7.6-9.7), respectively. In both cohorts, programmed death ligand 1 expression ≥ 1% and ECOG PS 0-1 were associated with longer OS (P < .05); the number of prior lines of therapy and age ≥ 75 years had no significant association with OS. CONCLUSIONS: This study confirmed the effectiveness of nivolumab monotherapy for previously treated advanced NSCLC in real-world clinical practice. Poor ECOG PS, but not advanced age, was associated with shorter OS.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".