Evaluation of a Novel Prognostic System for Surgically Resected Oral Cavity Carcinoma
Bibliographic record
Abstract
BACKGROUND: The Oral Cavity Predictive Score (OCCPS) is a point-based system including T/N stage, LVSI, and grade that has been validated for predicting distant metastasis. We tested its ability to predict overall survival (OS) in surgically managed oral cavity carcinoma (OCC). METHODS: Patients diagnosed 2010-2020 and treated with surgery were selected from the National Cancer Data Base (NCDB) and stratified into standard, intermediate, and high-risk categories using OCCPS. The Kaplan-Meier method compared OS in the whole cohort and select subgroups. RESULTS: Of 32 317 patients (median follow-up 38.4 months), 51.7%, 22.5%, and 25.8% were classified into standard, intermediate, and high-risk groups, respectively. Five-year OS was 73.4%, 58.6%, and 39.3% (log rank p < 0.001). The OCCPS stratified patients with negative margins and absent ENE, and stage IVA-B disease (log rank p < 0.001). CONCLUSION: In patients with OCC managed with at least definitive surgery, the OCCPS successfully stratifies patients into standard, intermediate, and high-risk groups for prediction of OS.
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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 | 0.001 | 0.001 |
| 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".