Nivolumab in Squamous Cell Carcinomas of the Head and Neck (SCCHN): A Real-world Outcome Study in Ontario, Canada
Bibliographic record
Abstract
The CheckMate-141 trial led to the approval of nivolumab in platinum-resistant metastatic/advanced squamous cell carcinomas of the head and neck (SCCHN). We evaluated the outcomes of SCCHN patients in Ontario, Canada, treated with nivolumab through retrospective review of the provincial treatment registry. Kaplan-Meier method was used to estimate overall survival (OS) and Cox regression to evaluate the prognostic effect of selected factors. Nivolumab was used as second-line therapy after disease relapse for curative-intent platinum chemotherapy (PC) (indication 1-I1), as second-line therapy post-PC in noncurative intent (indication 2-I2), and as first-line therapy in noncurative intent due to contraindication for PC (indication 3-I3). The median OS for patients treated with nivolumab was 5.8 months (95% CI: 4.5-7.3), and the 1-year OS was 28.4% (CI: 2.10-36.1). When patients with I3 were excluded to match inclusion criteria for CheckMate-141, median OS was 4.8 months (CI: 3.6-6.7) with 1-year OS of 21.8% (14.4-30.1). Patients with lower body surface area (BSA) (<1.81) had a median OS of 3.9 months (CI: 3.1-6.7) versus 9.0 months (CI: 6.5-14.8) in those with higher BSA, hazard ratio (HR)=0.12 (CI: 0.04-0.39, P <0.001). Patients receiving nivolumab for I1 had a median OS of 7.2 months (CI 3.8-9.8) versus 11.9 months (CI: 6.2-not reached) for I3, HR=1.73 (CI: 0.94-3.16). Patients receiving nivolumab for I2 had a median OS of 3.9 months (CI: 2.9-5.4) as compared with I3, HR=3.27 (CI: 1.80-5.94). Real-world analysis of patients with advanced/metastatic SCCHN in Ontario, Canada, treated with nivolumab demonstrates poorer median OS compared with CheckMate-141 trial. Lower BSA was a predictor of poorer median OS.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".