Evolution of Facial Aesthetic Treatment Over Five or More Years
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: Little information exists on how facial aesthetic treatments are incorporated into aesthetic regimens. OBJECTIVE: Assess the evolution of facial aesthetic treatments in patients receiving long-term continuous onabotulinumtoxinA treatment. METHODS: This international retrospective chart review included patients with ≥5 years of continuous onabotulinumtoxinA treatments including ≥1 glabellar lines treatment/year. Charts were reviewed for facial areas treated, number of treatments, doses/treatment visit, concomitant aesthetic procedures, and onabotulinumtoxinA-related adverse events. RESULTS: Data were collected from 5,112 onabotulinumtoxinA treatment sessions for 194 patients over an average of 9.1 years. Dosing was relatively stable over time; however, interinjection intervals increased. Glabellar lines' treatment temporally preceded crow's feet lines and forehead lines' treatment. A majority of patients (85%) also received treatment with fillers. Cumulative increases in onabotulinumtoxinA treatments occurred over time and by facial area corresponding with increases in treatments with injectable fillers, energy-based devices, and prescription topical creams. The longer the patients were treated, the younger they perceived themselves to look. Rates of adverse events were low. CONCLUSION: OnabotulinumtoxinA treatment evolved over time, coinciding with growth of the facial aesthetics market. Additional treatment modalities were added as complements to onabotulinumtoxinA. Long-term continuous onabotulinumtoxinA injections are an important component of contemporary facial aesthetic treatment regimens.
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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