Clinical parameters predicting development of pulmonary malignancies in patients treated for head and neck squamous cell carcinoma
Bibliographic record
Abstract
BACKGROUND: As the locoregional control rates in head and neck squamous cell carcinoma (HNSCC) have increased, these patients may suffer distant metastasis in a higher proportion of cases. Clinicopathological characteristics allowing prediction of high-risk profile would allow adapting posttreatment surveillance to individual risk. METHODS: A retrospective review of all patients with HNSCC treated at the Jewish General Hospital, McGill University, Montreal, Quebec, Canada, between 1999 and 2008 was conducted for this study. RESULTS: The study included 428 patients with a mean follow-up of 65 months (±SEM 1.7). Eighty patients (18.6%) developed pulmonary malignancy during follow-up. In multivariate Cox-regression analysis, locoregional failure and current smoking were associated with higher risk of pulmonary malignancy (p < .001 and p = .008, respectively). CONCLUSION: Locoregional failure and smoking persistence are predictors of pulmonary malignancy in patients with HNSCC. © 2015 Wiley Periodicals, Inc. Head Neck 38: E1277-E1280, 2016.
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".