Effect of age and gender in non-smokers with oral squamous cell carcinoma: Multi-institutional study
Bibliographic record
Abstract
BACKGROUND: In developing countries, oral squamous cell carcinoma (OSCC) is predominantly a cancer affecting older males who smoke tobacco. In countries with effective public health strategies, smoking rates are declining rapidly. It is not clear if patients who develop OSCC without these traditional risk factors represent a clinically distinct cohort with different prognosis. A recent analysis found that elderly non-smoking females with OSCC had significantly worse prognosis, concluding that this was a distinct patient population with poorer survival. The primary aim of this study was to determine the effect of gender and age on prognosis in OSCC, and the interaction between these two variables. METHODS: Multinational multi-institutional data were collected from six sites. The primary outcome of interest was disease specific survival (DSS). Time to local, regional, and distant recurrence were investigated as secondary outcomes. RESULTS: 3379 patients with OSCC were included. Males had significantly worse DSS compared to females (HR 1.24, 95% CI 1.08-1.43, p = 0.003). Females <70 years of age had significantly better DSS compared to females ≥70 years of age (HR 0.69, 95% CI 0.51-0.94, p < 0.001) but elderly females had similar DSS to males, regardless of age. When age was divided into three groups, the middle-aged group (45-69 years) had a significantly better DSS compared to elderly patients (HR 0.87, 95%CI 0.78-0.96, p < 0.001), however younger patients had similar DSS to elderly patients. When the effect of age (young v middle v elderly) was compared in each gender, young and middle-aged females had the most favourable DSS (log-rank p < 0.001). Middle-aged females who smoked had a 10% survival advantage compared to middle-aged males that smoked at five years. CONCLUSIONS: Age, gender, tumour subsite, and smoking status are important drivers of survival in OSCC. However, gender appears to be the most important predictor with young and middle-aged females having the most favourable prognosis.
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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) | 0.001 | 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".