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Record W4415706846 · doi:10.1177/22925503251386749

Ansa Cervicalis to Marginal Mandibular Nerve Transfer, a Feasible Option to Improve Lower Lip Function in Facial Nerve Paralysis

2025· article· en· W4415706846 on OpenAlexaff
Marieta Van der Vyver, Eva Lindell Jonsson, A P Singh, Shamir Chandarana, A. Robertson Harrop, Robert D. Hart, Wayne Matthews, Ashley Hinther, Charles David McKenzie, J. L. Matthews, Christiaan Schrag

Bibliographic record

VenuePlastic Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicFacial Nerve Paralysis Treatment and Research
Canadian institutionsAlberta Health ServicesUniversity of Calgary
Fundersnot available
KeywordsFacial symmetryFacial nerveSynkinesisFacial paralysisPalsyParalysisMandible (arthropod mouthpart)

Abstract

fetched live from OpenAlex

Facial nerve palsy affecting the lower face may compromise essential functions such as speech and eating. The associated facial asymmetry can contribute to social isolation. Facial nerve reconstruction using a combination of interposition nerve grafts and/or nerve transfers offers significant improvement. However, these options are limited by insufficient donor nerves and unwanted synkinesis if a single donor nerve is used for the entire hemi-face. To ameliorate both limitations, we perform an ansa cervicalis to marginal mandibular nerve transfer to restore tone and symmetry to the lower third of the face. We have found this a safe and feasible technique with minimal donor site morbidity. The anatomy is favorable both in terms of donor nerve length and size match between nerves. We report 9 cases with at least 6 months follow up which demonstrate improved lower lip tone and symmetry and improved oral competence. Early donor site morbidity and postoperative complications are minimal. This method is a reliable adjunct in facial nerve reconstruction to address the marginal mandibular nerve paralysis.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.291
Teacher spread0.268 · 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.

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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