Continental Preferences in Reconstruction of Pharyngolaryngectomy Defects: A Multi‐National Survey
Bibliographic record
Abstract
OBJECTIVES: Reconstruction of total pharyngolaryngectomy defects may restore pharyngeal function and enable tracheoesophageal speech after resection of locoregionally advanced malignancy. Little remains known about variations in the practices and preferences of surgeons across differing global regions. METHODS: A survey was sent to reconstructive head and neck surgeons across three continents with responses analyzed to evaluate trends. RESULTS: Of 155 respondents, 79.4% (n = 123) completed the survey including surgeons from North America (USA/Canada), the Indian Subcontinent (India/Bangladesh) and Australia/New Zealand. Among surgeons trained in pedicle flap reconstruction, only 47.5% performed these procedures after completion of training. Pedicle flaps were performed most frequently by surgeons from the Indian subcontinent. The anterolateral thigh flap was most popular among surgeons for free flap reconstruction, 58.5% (n = 72). CONCLUSION: This study demonstrates significant region-based variation in preferred reconstructive modality, suggesting location of practice and institutional experience influence the reconstructive algorithms of head and neck surgeons.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".