Mucosal melanomas of the head and neck: The Princess Margaret Hospital experience
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to identify the prognostic variables in mucosal melanoma of the head and neck. METHODS: A retrospective review of 61 cases over a 41-year period was undertaken. Local, regional, and distant failures were major outcome measures. Demographic, clinical, and pathological parameters were identified and correlated with outcomes. RESULTS: The median age at diagnosis was 68 years. Sinonasal cavity involvement occurred in 80.3% of patients and 16.4% occurred in the oral cavity. Local, regional, and distant recurrences were 60.7%, 19.7%, and 49.2%, respectively. Two-year and 5-year disease-free survivals were 25.8% and 8%, respectively. Disease-specific survival at 5 years was 28.7%. Age<50 years significantly correlated with a longer median survival time. CONCLUSION: The most common occurrence site was the sinonasal cavity. Local and distant recurrences are common irrespective of treatment modalities. Younger patients have a relatively better prognosis. Disseminated disease is common and the overall prognosis is poor.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".