Perceived Age Change After Aesthetic Facial Surgical Procedures
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To quantify the degree of perceived age change after aesthetic facial surgical procedures to provide an objective measure of surgical success. METHODS: Sixty patients undergoing various aging face surgical procedures were randomly chosen for analysis. Preoperative and postoperative photographs were evaluated. Raters were presented with photographs in a random assortment and were asked to estimate the age of the patient. Perceived age difference was defined as the difference between the chronological age and the estimated age, and the change in this value after surgery was the chief outcome of interest. Statistical models were designed to account for any effects of interrater differences, preoperative chronological age, rater group, photograph order, or surgical procedure performed. RESULTS: Our patient population was divided into the following 3 groups based on the surgical procedure performed: group 1 (face- and neck-lift [22 patients]), group 2 (face- and neck-lift and upper and lower blepharoplasty [17 patients]), and group 3 (face- and neck-lift, upper and lower blepharoplasty, and forehead-lift [21 patients]). Adjusted means demonstrated that patient ages were estimated to be 1.7 years younger than their chronological age before surgery and 8.9 years younger than their chronological age after surgery. The effect was less substantial for group 1 patients and was most dramatic for group 3 patients, who had undergone all 3 aging face surgical procedures. CONCLUSIONS: Our study is novel in that it quantifies the degree of perceived age change after aging face surgical procedures and demonstrates a significant and consistent reduction in perceived age after aesthetic facial surgery. This effect is more substantial when the number of surgical procedures is increased, an effect unrelated to the preoperative age of a patient and unaffected by other variables that we investigated. The ability to perceive age correctly is accurate and consistent.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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