Consensus Among International Facial Therapy Experts for the Management of Adults with Unilateral Facial Palsy: A Two-Stage Nominal Group and Delphi Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Nonsurgical rehabilitation of unilateral peripheral facial palsy (FP) varies globally with controversy regarding best practice. Objective: To develop facial therapist consensus regarding what should be included or excluded in rehabilitation of adults with FP of any etiology. Three clinical presentations: flaccid, paretic and synkinetic, were separately considered. Methodology: A two-stage study was conducted: a nominal group technique (NGT) to develop a questionnaire plus Delphi study. Delphi participants were recruited worldwide, through an experience-based inclusion questionnaire. The final Delphi questionnaire included 166 items for each clinical presentation covering assessment, outcome measures, and interventions, for example, education, eye care, neuromuscular retraining, and electrical modalities. Inclusion/exclusion agreement was set at 80%, indicating participant consensus. Items reaching 70–79% were deemed “near-included/near-excluded.” Results: Averaged across all presentations, 24.9% of the 166 items were included, (e.g., Sunnybrook Facial Grading System, patient education and neuromuscular retraining), 26.9% of the 166 items were excluded, (e.g., gross strengthening and electrical stimulation); 48.2% were neither included nor excluded. Conclusion: This study brings together the global community's expertise as a first step toward establishing best practice for specialist facial therapy. It is hoped this will guide clinical decision making, advance research, and optimize patient outcomes in this challenging field.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 it