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Record W1979862129 · doi:10.2310/7070.2005.03060

Functional Outcomes after Primary Mandibular Resection and Reconstruction with the Fibular Free Flap

2005· article· en· W1979862129 on OpenAlexaffvenue
Hadi Seikaly, Mitra Maharaj, Jana Rieger, Jeff Harris

Bibliographic record

VenueThe Journal of Otolaryngology · 2005
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineSwallowingSurgeryFree flapRadiation therapyFree flap reconstructionIntelligibility (philosophy)Reconstructive surgeryDentistry

Abstract

fetched live from OpenAlex

OBJECTIVE: This study examined prospectively the functional outcomes of a cohort of patients who have undergone mandibulectomy and primary fibular free flap reconstruction, with particular emphasis on longitudinal comparison of the preoperative function with that in the postoperative and post-radiation therapy time periods. METHODS: Speech and swallowing data were gathered at three evaluation times (preoperatively, pre-radiation therapy, and post-radiation therapy) for patients treated for oral cavity cancer with mandibular resection and reconstruction with a fibular free flap. Single words and sentences were recorded and analyzed for speech intelligibility. Modified barium swallows of liquid, pudding, and cookie consistencies were analyzed and graded for problems in the oral preparatory and oral phase according to the University of Chicago Center for Speech and Swallowing Disorders Oropharyngeal Mobility Data Form. RESULTS: There was no significant difference across any of the evaluation times for single-word or sentence intelligibility. The swallowing data showed no instances of post-treatment aspiration or laryngeal penetration. There were also no significant differences in any of the swallowing parameters across treatment times. CONCLUSIONS: Osteocutaneous fibular free flaps are an excellent reconstructive option for mandibular and floor of the mouth defects.

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 score0.231

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 head0.008
GPT teacher head0.217
Teacher spread0.210 · 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

Citations32
Published2005
Admission routes2
Has abstractyes

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