Long-Term Outcomes of Smile Reconstruction in Möbius Syndrome
Bibliographic record
Abstract
BACKGROUND: Gracilis muscle transplant is the standard of care for smile reconstruction in children with Möbius syndrome. The authors describe the long-term clinical efficacy, durability, and psychosocial impact of this approach at a mean follow-up of 20 years. METHODS: Patients with Möbius syndrome who underwent gracilis muscle transfer between 1985 and 2005 were included in the study. The authors assessed midfacial movements using photographs and Scaled Measurement of Improvement in Lip Excursion measure, administered the patient-reported Facial Clinimetric Evaluation Scale, and used semistructured interviews. RESULTS: The mean age at surgery was 13.2 ±10.6 years and the mean follow-up was 20.4 ± 4.4 years postoperatively. Twenty-two gracilis muscle transplants were performed, all innervated by the motor nerve to the masseter. Photographic analysis using Scaled Measurement of Improvement in Lip Excursion software demonstrated that movement of the muscle was unchanged 20 years after surgery. Smile symmetry was stable long term. The overall mean Facial Clinimetric Evaluation score of the cohort was 62.3 ± 12.0. Facial comfort (86.4 ± 21.2) and social function (69.9 ± 18.5) subdomains were the highest. Although the facial movement subdomain score was 35.6 ± 12.4, the score related to smiling alone was 84.1 ± 20.2, indicating satisfaction with the midfacial reconstruction. Interview responses indicated high satisfaction with surgery; fulfilled expectations of social acceptance; improved communication; enhanced self-confidence; and a sense of increased facial symmetry, spontaneity, and smile excursion. CONCLUSION: Segmental gracilis muscle transplantation provides long-lasting, durable improvements in objective and patient-reported measures of facial function.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".