First-Line Pembrolizumab Plus Chemotherapy for Advanced Squamous NSCLC: Real-World Outcomes at U.S. Oncology Practices
Bibliographic record
Abstract
Introduction: Pembrolizumab plus carboplatin and (nab-)paclitaxel (pembrolizumab-chemotherapy) is currently an approved and recommended systemic therapy for patients with previously untreated advanced squamous NSCLC. This retrospective study evaluated real-world time on treatment (rwToT) and overall survival (OS) among patients with advanced squamous NSCLC treated with first-line pembrolizumab-chemotherapy at oncology practices in the United States. Methods: Using a real-world database, we selected adult patients with newly diagnosed or recurrent advanced squamous NSCLC (unresectable stages IIIB, IIIC, or IV) and good performance status (Eastern Cooperative Oncology Group 0-1) who initiated first-line pembrolizumab-chemotherapy from November 1, 2018, to May 31, 2020. The Kaplan-Meier method was used to determine rwToT and OS overall and by programmed death-ligand 1 (PD-L1) expression. Data cutoff was October 31, 2021. Results: Of 364 eligible patients, 243 (67%) were men; median age was 70 (range: 43-84) years; and PD-L1 expression was greater than or equal to 1%, less than 1%, and unknown for 172 (47%), 94 (26%), and 98 patients (27%), respectively. Median follow-up from pembrolizumab-chemotherapy initiation to data cutoff was 26.2 months. Overall, median pembrolizumab rwToT was 6.5 months (95% confidence interval [CI]: 5.6-7.6), with on-treatment rates of 29.3% and 15.9% at 12 and 24 months, respectively. Median OS was 15.3 months (95% CI: 11.7-18.6), with 12- and 24-month OS rates of 54.9% and 37.3%, respectively. Median OS did not differ with PD-L1 expression: 16.2 months (95% CI: 10.3-20.6) for PD-L1 greater than or equal to 1% and 17.2 months (95% CI: 10.8-20.6) for PD-L1 less than 1%. Conclusions: For patients with advanced squamous NSCLC and good performance status treated with first-line pembrolizumab-chemotherapy, rwToT and OS are similar to clinical trial findings for treatment duration and 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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".