Complete Hemifacial Paralysis Post-facelift: Making Sense of a Plastic Surgeon's Worst Nightmare
Bibliographic record
Abstract
BACKGROUND: Postrhytidectomy hemifacial paralysis is a frightening clinical condition affecting the proximal facial nerve and most often associated with Bell's palsy. Associated symptoms are common and include auditory, salivary, vestibular, and gustatory complaints. OBJECTIVES: The aim of the study was to provide increased awareness of postrhytidectomy hemifacial paralysis secondary to Bell's palsy in the plastic surgery community. METHODS: Following a roundtable discussion with the senior author's (J.C.G.) plastic surgery colleagues located all over the world, 8 surgeons reported having had firsthand experience with hemifacial paralysis in patients following facelift. Descriptions of their cases, including preoperative, intraoperative, and postoperative courses were collected and reported. RESULTS: A total of 10 cases of postrhytidectomy hemifacial paralysis were analyzed based on results of a clinical questionnaire. Eight of the 10 cases involved all facial nerve branches, with 2 cases sparing the marginal mandibular branch. The vast majority of cases were referred to a neurologist and steroids initiated. Two patients were returned to the operating room for exploration. Associated symptoms reported included pain in the ear, hearing loss, ocular symptoms such as tearing or dryness, vestibular symptoms such as vertigo, changes in taste, and in 1 patient an electric-shock type sensation to the face. CONCLUSIONS: Hemifacial paralysis associated with Bell's palsy following rhytidectomy is a rare but known clinical entity that should be included in the preoperative informed consent process before facelift. Current management trends are neurology referral and steroid initiation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".