Laser facial resurfacing: patient survey of recovery and results.
Bibliographic record
Abstract
OBJECTIVE: To determine patient satisfaction with the postoperative recovery period and surgical outcome after facial laser resurfacing. DESIGN: Survey. PATIENTS: Patients who underwent facial laser resurfacing by two of the authors (PAA or DAFE) between 1995 and 1996. Questionnaires were completed by 47 of 100 patients. INTERVENTIONS: Facial laser resurfacing with the Sharplan CO2 laser and SilkTouch Scanner. MAIN OUTCOME MEASURES: Questionnaire. Statistical analysis was generated from a 5-point analogue scale. RESULTS: The overall side effects were moderate in severity, were well tolerated, and met the expectations of our patients. Redness was the most frequent side effect with an average duration of 3 months. Most patients returned to occupational and social activities at 2.5 weeks. Moderate lifestyle disruption was more frequent after full-face laser resurfacing than partial-face laser resurfacing. Excellent improvement was achieved for removal of fine wrinkles, improvement of skin quality, and sun-damaged skin. Good improvement was obtained for acne scarring and deep rhytids. Overall goals were attained in 89% of patients. CONCLUSIONS: Laser resurfacing produced excellent results for fine rhytids, skin quality, and sun-damaged skin. Return to social and occupational activities may occur early in recovery with the use of camouflage make-up. Patient education and close follow-up are necessary in the postoperative period.
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.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".