Postoperative infection predicts poor survival in locoregionally advanced oral cancer
Bibliographic record
Abstract
BACKGROUND: We ascertain the association of postoperative infection on survival in patients with locoregionally advanced oral cavity squamous cell carcinoma (OCSCC). METHODS: A retrospective study of patients with stage III/IVA OCSCC undergoing curative-intent surgery was performed. Postoperative infection was considered within 30 days after surgery. Kaplan-Meier survival curves were used to compare overall survival (OS) in patients with postoperative infection. Cox regression and propensity-score matching were used to adjust for confounders. RESULTS: Fifty-four of 114 patients had a postoperative infection. The 5-year OS in patients with a postoperative infection (24.1%) was lower than those without (65.2%; P < .0001). Postoperative infection was a negative predictor of OS after adjusting for patient, antibiotic, pathologic, and operative factors; the adjusted hazard ratio for OS was 2.54 (95% confidence interval, 1.27-5.09). CONCLUSION: Postoperative infection is a strong negative predictor of OS in patients with OCSCC undergoing ablative surgery.
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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) | 0.000 | 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 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".