Global treatment patterns and outcomes among patients with recurrent and/or metastatic head and neck squamous cell carcinoma: Results of the GLANCE H&N study
Bibliographic record
Abstract
OBJECTIVES: Given a lack of universally-accepted standard-of-care treatment for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC), study objectives were to assess treatment utilization and survival outcomes for R/M HNSCC in the real-world setting. MATERIALS AND METHODS: A multi-site retrospective chart review was conducted in Europe (Germany, United Kingdom, Italy, Spain), Asia Pacific (Australia, South Korea, Taiwan), and Latin/North America (Brazil and Canada) to identify patients who initiated first-line systemic therapy for R/M HNSCC between January 2011 and December 2013. Patients were followed through December 2015 to collect clinical characteristics, treatment and survival data. RESULTS: Among 733 R/M HNSCC patients across 71 sites, median age was 60 years (inter-quartile range 54-67), 84% male, and 70% Eastern Cooperative Oncology Group performance status 0-1; 32% had oral cavity and 30% oropharyngeal cancers. The most common first-line regimen across all countries consisted of platinum-based combinations (73%), including platinum + 5-fluorouracil (5-FU) (26%), cetuximab + platinum ± 5-FU (22%), or taxane + platinum ± 5-FU (16%). However, use of different platinum-based combinations varied substantially; administration of cetuximab + platinum ± 5-FU was frequent in Italy (81%), Germany (46%) and Spain (38%), whereas use in other countries was limited. Median follow-up was 22.6 months (95% confidence interval [CI]: 21.5-24.6 months). Median real-world overall survival was only 8.0 months (95% CI: 7.0-8.0), with one-year survival reaching only 30.9% (95% CI: 27.5-34.3). CONCLUSION: Systemic therapies used in clinical practice for patients with R/M HNSCC vary substantially across countries. Prognosis remains poor in this patient population, highlighting the need for newer, more efficacious treatments.
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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) | 0.000 | 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".