Poor treatment tolerance in head and neck cancer patients with low muscle mass
Bibliographic record
Abstract
BACKGROUND: We ascertain the role of a low cervical paraspinal skeletal muscle index (CPSMI) as a biomarker for poor treatment tolerance in patients with operable mucosal head and neck squamous cell carcinoma (HNSCC). METHODS: A prospective cohort of patients with operable HNSCC requiring microvascular reconstruction was evaluated. Low CPSMI was calculated using preoperative CT neck imaging. Poor treatment tolerance, a composite measure of incomplete therapy or severe morbidity/mortality during treatment, was the primary outcome. RESULTS: One hundred and twenty-seven patients underwent extirpative surgery with a mean age was 60.5. Poor treatment tolerance occurred in 71 (56%) patients with 21 not completing recommended adjuvant therapy and 66 having severe treatment-related morbidity. A low CPSMI was independently associated with poor treatment tolerance (OR 2.49, 95%CI 1.10-5.93) and delay to adjuvant therapy (OR 4.48, 95%CI 1.07-27.6) after adjusting for multiple confounders. CONCLUSION: Low CPSMI was independently associated with poor treatment tolerance 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".