Prognostic indicators in carcinoma of the nasal vestibule
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Squamous cell carcinoma of the nasal vestibule is rare variant of skin cancer. The TNM classification for skin cancer has been used, whereas, Wang has devised an independent staging system, which he stated was more accurate. The purpose of this study was to analyse the prognostic indicators for survival in a patients with nasal vestibule cancer from the Princess Margaret Hospital, Toronto. DESIGN: A retrospective review of case notes from the Princess Margaret Hospital archives was performed. SETTING: The Princess Margaret Hospital/Ontario Cancer Institute is the tertiary regional Head and Neck Oncology Centre for ON, Canada. PARTICIPANTS: All patients with nasal vestibule cancer (ICD10 C300) were included. MAIN OUTCOME MEASURES: Univariate and multivariate analyses were performed and Kaplan-Meier survival curves constructed. RESULTS: Eighty-four patients were identified. The mean age was 67, there was a male preponderance of 2 : 1. Primary radical radiation was used in 77% of patients. Age (P = 0.02), N stage (P = 0.0001) and Wang classification (P = 0.0001) were associated with prediction of overall survival using multivariate analysis. Grade, depth of invasion and N stage were associated with disease-free survival outcome. A 5-year overall survival rate of 58% and disease-free survival of 52% was seen. CONCLUSION: Nasal vestibule cancer behaves in a more aggressive manner than any other skin cancers affecting the head and neck. The Wangs' classification appears to be a better prognostic indicator for overall survival then the TNM classification for skin cancer.
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.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it