Impact of nodal ratio on survival in squamous cell carcinoma of the oral cavity
Bibliographic record
Abstract
BACKGROUND: The association between nodal ratio and survival has not been assessed in squamous cell carcinomas of the head and neck. METHODS: This is a population-based analysis, using the Surveillance, Epidemiology, and End-Results database, to determine whether nodal ratio impacts survival in patients with oral cavity squamous cell carcinoma. RESULTS: Between 1988 and 2005, 2955 new diagnoses of N(1) or N(2) squamous cell carcinoma of the oral cavity were identified. The mean nodal ratio was 16.9%. Nodal ratio was found to be strongly statistically associated with overall survival in both univariate and multivariate analyses. Patients could be stratified into low- (0% to 6%), moderate- (6% to 12.5%), and high-risk (>12.5%) groups based on nodal ratio. CONCLUSIONS: In patients with squamous cell carcinoma of the oral cavity, an increased nodal ratio is a strong predictor of decreased survival. Risk of death can be stratified based on nodal ratio.
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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".