Platysma Prominence: Review and Expert Analysis of Clinical Presentation, Burden, and Treatment Considerations
Bibliographic record
Abstract
Background: Platysma prominence (PP) is a sign of aging in the lower face and neck characterized primarily by a blunting of the jawline and the presence of vertical banding along the anterior and posterior margins of the muscle on one or both sides of the neck. The aim of this review was to combine findings from the literature on topics relevant to PP with expert perspective to help guide clinical decision-making in assessment and treatment. Methods: A review of the literature focusing on platysma muscle anatomy and function; PP signs, characteristics, causes, clinical severity, and aesthetic and psychosocial effects; and treatment options for PP was performed and summarized. Expert clinical perspectives of these findings elucidated from the authors' experience were used to develop considerations for the evaluation and treatment of PP. Results: PP is an aesthetically undesirable condition that is bothersome to affected individuals and has negative effects on quality of life and psychological and emotional well-being. Knowledge of platysma muscle anatomy, proper patient assessment, and considerations in the use of onabotulinumtoxinA for the treatment of PP, including selection of the appropriate candidates and careful dosing and injection techniques, can produce consistent results with limited adverse events, potentially enhancing the patient's quality of life. Conclusions: PP is a bothersome condition with a detrimental impact on patient quality of life and psychological and emotional well-being. OnabotulinumtoxinA is a nonsurgical treatment option with a record of safe, consistent results in treating PP.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".