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The Use of Local Anesthetic Motor Block to Demonstrate the Potential Outcome of Depressor Labii Inferioris Resection in Patients with Facial Paralysis

2005· article· en· W2064858209 on OpenAlexaff
Yvette Godwin, Laura Tomat, Ralph T. Manktelow

Bibliographic record

VenuePlastic & Reconstructive Surgery · 2005
Typearticle
Languageen
FieldMedicine
TopicFacial Nerve Paralysis Treatment and Research
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicineLocal anestheticAnesthesiaResectionFacial paralysisParalysisSurgeryPalsyLocal anesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: If a patient with unilateral facial paralysis has marked depressor activity on the normal side, the appearance of the lower lip when smiling is asymmetrical. Defunctioning the muscle on the contralateral side to the palsy can restore balance. This can be achieved by resecting a portion of the depressor labii inferioris muscle on the nonparalyzed side. However, the decision to resect normal muscle may be difficult for many patients. This article presents the role of a local anesthetic motor block in temporarily paralyzing the muscle before patients decide whether permanent resection will meet their needs. METHOD: A phone questionnaire with 15 patients who received motor muscle blockage before deciding to have depressor labii inferioris muscle resection was conducted. RESULTS: Ninety-three percent of the patients who underwent the local anesthetic motor block stated that it gave them valuable information regarding the outcome of their surgery and influenced their decision to undertake definitive depressor muscle resection. CONCLUSION: A trial by local anesthetic before depressor inferioris muscle resection provides patients with valuable insight into the likely outcome of the surgery.

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)0.001
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 score0.046
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.027
GPT teacher head0.263
Teacher spread0.236 · 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

Citations24
Published2005
Admission routes1
Has abstractyes

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