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Record W4404049790 · doi:10.1002/hed.27986

Impact of Transoral Robotic Surgery Versus Radiation on Swallowing Function in Oropharyngeal Cancer Patients: A Sub‐Study From a Randomized Trial

2024· article· en· W4404049790 on OpenAlexafffund
Julie Theurer, Rosemary Martino, Nedeljko Jovanovic, John R. de Almeida, David P. Goldstein, Kevin Fung, John Yoo, S. Danielle MacNeil, Eric Winquist, J. Alex Hammond, Varagur Venkatesan, Nancy Read, Sarah Kuruvilla, Andrew Warner, Philip C. Doyle, Ian Ross, Colleen Dreyer, Sarah Hawkins, Kendra Thouless, David A. Palma, Anthony C. Nichols

Bibliographic record

VenueHead & Neck · 2024
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsUniversity Health NetworkLondon Health Sciences CentreUniversity of TorontoLawson Health Research InstituteWestern University
FundersCanadian Cancer Society Research Institute
KeywordsSwallowingMedicineTransoral robotic surgeryRadiation therapyQuality of life (healthcare)Randomized controlled trialCancerHead and neck cancerPharynxPhysical therapySurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: This ORATOR sub-study evaluated swallowing physiology in patients treated with transoral robotic surgery (TORS) versus radiotherapy (RT) for early-stage oropharynx cancer. METHODS: Swallowing physiology was evaluated using videofluoroscopy and outcomes were compared across treatment arms and correlated with MDADI scores. RESULTS: Of the 68 patients in the ORATOR trial, 21 participated in this sub-study (30.8%), including 15 RT Arm and six TORS Arm patients. Swallowing profiles were not significantly different between the arms. MBSImP pharyngeal scores for RT Arm versus TORS Arm patients were 4.8 (±2.1) versus 4.3 (±1.5) at baseline, 6.2 (±1.2) versus 9.6 (±4.8) at 6 months and 5.9 (±1.8) versus 8.0 (±4.7) at 12 months. MBSImP pharyngeal scores demonstrated weak associations with several MDADI subscales and PAS scores. CONCLUSIONS: To best describe swallowing outcomes in studies of RT and/or surgery, instrumental swallowing assessments should be strongly considered in addition to quality of life measures.

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)0.000
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.041
GPT teacher head0.348
Teacher spread0.307 · 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 designRandomized trial
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

Citations3
Published2024
Admission routes2
Has abstractyes

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