Sarcopenia Trajectories Predict Survival in Operable Head and Neck Cancer
Bibliographic record
Abstract
BACKGROUND: Sarcopenia is associated with increased treatment toxicity and survival in head and neck squamous cell cancer (HNSCC). This study evaluates sarcopenia trajectories and their association with overall survival (OS) and disease-free survival (DFS) in operable HNSCC. METHODS: Pre- and post-treatment body composition metrics of patients with stage II-IV HPV-negative HNSCC undergoing surgery were performed. Sarcopenia trajectories were categorized as remains sarcopenic, remains non-sarcopenic, recovers from sarcopenia, or progresses to sarcopenia using multiple Cox regression. RESULTS: Of 332 patients, 108 were sarcopenic at baseline, and 106 remained sarcopenic post-treatment. Patients who remained sarcopenic or progressed to sarcopenia demonstrated significantly worse OS (HR: 2.08, 95% CI: 1.27-3.41 and HR: 3.05, 95% CI: 1.40-6.62) and DFS (HR: 1.79, 95% CI: 1.17-2.72 and HR: 2.12, 95% CI: 1.03-4.36), compared to those who remained non-sarcopenic while adjusting for confounding factors. CONCLUSION: Sarcopenia trajectories represent dynamic biomarkers that predict oncologic outcome in patients with operable 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".