Prognostic factors in the surgical treatment of patients with oral carcinoma
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
The aim of the study was to analyse the clinical outcome of patients treated surgically for oral carcinoma. A retrospective cohort study was undertaken of 356 patients with oral cavity cancer whose clinicopathological information had been collected prospectively onto a dedicated head and neck database. Disease recurrence and survival were assessed. Neck metastases occurred in 42% of patients. Tumour thickness (both 2 and 5 mm) predicted the presence of nodal metastases. Both pathological T stage (P < 0.001) and tumour thickness cut-off of 5 mm (P = 0.03) were independent predictors of disease-specific survival. With a median follow up of 41 months, overall survival at 5 years was 59% and disease-specific survival was 73%. Patients with thick tumours have a high risk of nodal metastases and this supports the liberal use of elective selective neck dissection in patients with clinically negative necks.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it