Fiber‐optic endoscopic evaluation of swallowing (FEES): Predictor of swallowing‐related complications in the head and neck cancer population
Bibliographic record
Abstract
BACKGROUND: The treatment of head and neck cancer is associated with significant dysphagia and morbidity. Prescribing a safe oral diet in this population is challenging. METHODS: Data from 116 consecutive patients having 189 fiber-optic endoscopic evaluation of swallowing (FEES) examinations over a 3-year period were analyzed. All patients had been treated for head and neck cancer and subsequently were assessed by FEES. The primary outcome was the incidence of swallowing-related adverse events resulting from the FEES-based dietary recommendations. RESULTS: There were 10 episodes of aspiration pneumonia, 4 episodes of airway obstruction, 3 unanticipated insertions of gastrostomy tubes, and 2 unexplained deaths within the study period. The overall rate of adverse events was 10.1%. The only statistically significant predictor of adverse events was the Rosenbek score (p = .03). CONCLUSIONS: Our experience is that FEES guides appropriate and safe diet recommendations in this population.
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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 | 0.002 | 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".