Time to First Relapse as an Outcome and a Predictor of Survival in Patients With Squamous Cell Carcinoma of the Head and Neck
Bibliographic record
Abstract
OBJECTIVE: To identify patterns and predictors of relapse and to determine whether the time to relapse influences survival. STUDY DESIGN: Multivariate anal. ysis of prospective database. METHODS: We present findings in 446 consecutive prospective patients from a regional cancer center with invasive squamous cell carcinoma who were treated for cure and were declared disease free. Time to relapse, site of relapse, and survival are reported by stage and site using bivariate and multivariate analysis. RESULTS: Thirty-six percent of patients relapsed. The median time to relapse was 8.3 months, and 95% of relapses occurred within 3 years. T stage in the TNM staging system was associated with relapse, and N stage was not. In patients who relapsed before the median time to relapse, prognosis was worse than in those who relapsed after that time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".