Pembrolizumab alone or with chemotherapy for recurrent or metastatic head and neck squamous cell carcinoma: Health-related quality-of-life results from KEYNOTE-048
Bibliographic record
Abstract
OBJECTIVES: To assess health-related quality of life (HRQoL) with first-line pembrolizumab, pembrolizumab-chemotherapy, or cetuximab-chemotherapy in recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) in the phase 3 KEYNOTE-048 trial (NCT02358031). MATERIALS AND METHODS: HRQoL was measured using the European Organisation for Research and Treatment of Cancer 30-question quality-of-life (EORTC QLQ-C30), the EORTC 35-question quality-of-life head and neck cancer-specific module (EORTC QLQ-H&N35), and the EuroQol 5-dimension 3-level instruments (EQ-5D-3L). Secondary endpoints included mean change from baseline in EORTC QLQ-C30 global health status/quality of life (GHS/QoL) at week 15 and time to deterioration (TTD) in EORTC QLQ-C30 GHS/QoL and EORTC QLQ-H&N35 pain and swallowing. RESULTS: Of 882 enrolled participants, 844 received ≥ 1 dose of study treatment and completed ≥ 1 HRQoL assessment; adherence was ≥ 79% at week 15 across treatment groups. At week 15, EORTC QLQ-C30 GHS/QoL scores remained stable; no clinically meaningful between-group differences were observed (least squares mean difference, pembrolizumab vs cetuximab-chemotherapy, 0.24; 95% CI, -3.34 to 3.82; pembrolizumab-chemotherapy vs cetuximab-chemotherapy, 0.40; 95% CI, -3.46 to 4.26). Median TTD in EORTC QLQ-C30 GHS/QoL and EORTC QLQ-H&N35 pain and swallowing scores was not reached over 51 weeks across groups, showing stable HRQoL. TTD was similar between groups for EORTC QLQ-C30 GHS/QoL (pembrolizumab vs cetuximab-chemotherapy: HR, 1.38; 95% CI, 0.95-2.00; pembrolizumab-chemotherapy vs cetuximab-chemotherapy: HR, 1.37; 95% CI, 0.94-2.00), as was TTD in EORTC QLQ-H&N35 pain and swallowing scores. CONCLUSIONS: Pembrolizumab monotherapy and pembrolizumab-chemotherapy extended OS while maintaining HRQoL, further supporting first-line use for R/M HNSCC.
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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) | 0.002 | 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) | 0.000 | 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".