Ansa Cervicalis to Marginal Mandibular Nerve Transfer, a Feasible Option to Improve Lower Lip Function in Facial Nerve Paralysis
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".