Subject and partner satisfaction with lip and perioral enhancement using flexible hyaluronic acid fillers
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
Abstract Background The injection of hyaluronic acid (HA) dermal fillers is a popular minimally invasive approach to improve lip volume and contour, and with improved techniques has gained popularity because full lips are often associated with beauty and youth. Patient satisfaction is a key driver for successful aesthetic procedures, influencing individual treatment plans and future recommendations. Objective To evaluate subject and partner satisfaction with the hyaluronic acid (HA) dermal filler HA RK for lip enhancement at 8 weeks after the last treatment. Methods & materials Subjects in this open‐label study all received HA RK in the lips, and an additional group also received HA RR and/or HA RD in nasolabial folds (NLFs) and marionette lines (MLs). Satisfaction was assessed at Weeks 4 and 8 after the last treatment using questionnaires (FACE‐Q™ [subjects] and KISSABILITY [subjects and partners]). Results Nineteen subjects received HA RK only; 40 also received HA RR and/or HA RD . Subjects reported a high level of satisfaction with their lips following treatment. Increases from baseline in the mean total satisfaction score were statistically significant at Weeks 4 and 8 ( P ≤ .001). Most subjects (≥89%) reported satisfaction on all FACE‐Q questions at Week 8. Both subjects and partners were satisfied with the kissability, appearance, and natural look and feel of the post‐treatment results. Conclusion This study demonstrated that HA RK resulted in lip enhancement with high levels of subject and partner satisfaction, when used alone or in combination with HA RR / HA RD in NLFs and MLs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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