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Record W131184596

Surgical reconstruction versus prosthetic obturation of extensive soft palate defects: a comparison of speech outcomes.

2010· article· en· W131184596 on OpenAlexaff
Jana Rieger, George C. Bohle, Joseph M. Huryn, Judith Lam Tang, Jeffrey Harris, Hadi Seikaly

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSoft palateMedicineProsthodontistVelopharyngeal insufficiencyIntelligibility (philosophy)Soft tissueDentistryRehabilitationSurgeryPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

PURPOSE: The restoration of speech after an extensive resection of the soft palate has been a challenge faced by both prosthodontists and surgeons. Few comparisons between prosthetic rehabilitations and surgical reconstructions of large soft palate defects exist in equally matched groups of patients. The purpose of this study was to evaluate speech outcomes in patients with soft palate defects that were rehabilitated with either a pharyngeal obturator or surgical reconstruction. MATERIALS AND METHODS: Nine patients who were treated via prosthetic obturation were compared to nine patients who underwent surgical reconstruction of the oropharynx with a radial forearm free flap and a soft palate insufficiency repair modification. Speech intelligibility data, perceptual ratings of resonance, and aeromechanical measurements of velopharyngeal function were collected. RESULTS: There were no differences in any of the speech outcome measures between the two groups of patients. CONCLUSION: Future studies should focus on the patient's perspective on rehabilitative options and potential quality of life issues.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.316

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.028
GPT teacher head0.298
Teacher spread0.270 · 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

Citations28
Published2010
Admission routes1
Has abstractyes

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