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Record W4406773007 · doi:10.1002/hed.28078

Continental Preferences in Reconstruction of Pharyngolaryngectomy Defects: A Multi‐National Survey

2025· article· en· W4406773007 on OpenAlexaboutno aff
William Karantanis, Andrew Larson, Ravjit Singh, Daniel G. Deschler, Prathamesh Pai, Thomas Havas

Bibliographic record

VenueHead & Neck · 2025
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsIndian subcontinentMedicineHead and neckReconstructive surgeryForm and functionMalignancyGeneral surgeryReconstructive SurgeonSurgeryHistoryPsychology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.329
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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