Does Tumour Biological Behaviour Influence Prognosis More than Diagnostic Delay in Oral Cancer?
Bibliographic record
Abstract
Worldwide, oral cancer has one of the lowest survival rates (lethal disease for over 50% of cases diagnosed annually) and remains unaffected despite recent therapeutic advances. Unfortunately, almost half of the oral cancers are diagnosed at stages III or IV, probably due to delays in reaching a definitive diagnosis. Many preventive approaches (secondary prevention) have been designed assuming the logical hypothesis that the longer the diagnostic delay, the more advanced the cancer and the worse the prognosis. However, a number of studies failed to prove this association or even found an inverse relationship. We hypothesize that tumour's biological heterogeneity in terms of aggressiveness may explain shorter delays linked to advanced stages and bad prognosis. The assumption of this hypothesis would entail favouring oral cancer and precancer screening strategies at the preclinical stage of the disease, and therefore strategies of opportunistic screening for oral cancer and precancer on asymptomatic at risk population should be reinforced.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".