Swallowing Function Following Neoadjuvant Chemotherapy and Transoral Robotic Surgery for Oropharyngeal Carcinoma: A 2‐Year Follow‐up
Bibliographic record
Abstract
Objective To evaluate 2‐year follow‐up swallowing function in patients with human papillomavirus–related oropharyngeal squamous cell carcinoma (HPV+ OPSCC) who completed neoadjuvant chemotherapy and transoral robotic surgery (NAC+S) Study Design Retrospective analysis of patients with OPSCC treated with NAC+S between 2010 and 2021. Setting A single academic institution. Methods This is a cross‐sectional study of patient‐reported swallowing function, assessed with the MD Anderson Dysphagia Inventory (MDADI) at least 2 years after completion of treatment. The inclusion criteria are patients with HPV+ OPSCC who underwent NAC+S at least 2 years ago. Those requiring adjuvant radiation or chemoradiation or experiencing relapse were excluded from the study. Results Completed MDADIs were received from 37 patients at a median 3.8 years posttreatment (interquartile range, 2.0‐8.6 years). Of those, 94.6% (n = 35) were male and 81.1% (n = 30) were White. The median age at OPSCC diagnosis was 59.0 years (interquartile range, 41‐80 years). The most frequent primary subsite of OPSCC was the base of the tongue (n = 20, 54.1%), followed by the tonsils (n = 16, 43.2%). In addition, 75.7% (n = 28) had stage IVa disease (TNM seventh edition), and 29 (78.4%) had scores ≥80, classified as optimal function. When compared with patients who received bilateral neck dissection, patients who received unilateral neck dissection were associated with an age <65 years old (P =. 036) and lower clinical TNM stage (P =. 04), as well as higher composite, emotional, functional, and physical MDADI scores (P =. 017,. 046,. 013, and. 05, respectively). Conclusion Patients with OPSCC who were treated with NAC+S achieved satisfactory long‐term swallowing outcomes. Unilateral neck dissection was significantly associated with higher MDADI scores in this patient cohort.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".