Detection of human papillomavirus in primary site of oraloropharyngeal cancer and in cervical lymph nodes : correlation with clinico-pathological parameters and prognostic significance
Bibliographic record
Abstract
Objectives. (1) To Determine the presence of HPV 6, 11, 16, 18, 31, 33, 35, 52b, 58 subtypes in resected oral/oropharyngeal SCCA cancer and associated lymph nodes. (2) To Determine if a relationship exists between koilocytosis, tumor grade, stage, or prognosis. Methods. Retrospective analysis and pathology review of patients with SCCA of the oral cavity at McGill in the last 5 years was performed. Age at diagnosis, risk factors, tumor stage, grade, koilocytosis, treatment, outcome, and presence of HPV by PCR were analysed. Results. 199 patients included were included in the analyses; 5 years mortality was 18.5%. 146 cases reviewed by pathology revealed 67% koilocytosis. One sample was positive for HPV subtype 35 as determined by PCR. Radiotherapy (p<0,5) and complications from radiotherapy (p<0.5) significantly affected survival. Conclusions. Many oral SCCA's do not contain HPV 6, 11, 16, 18, 31, 33, 35, 52b, 58 subtypes. Given the high prevelence of koilocytosis, probe for other subtypes should be utilized. Mortality rates and survival are similar to those published in the literature. The presence of koilocytosis, it is not related grade, stage or prognosis. Only radiotherapy and its complications affect survival.
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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 | 0.000 | 0.002 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".