Appropriate Timing for Thyroidectomy Scar Treatment Using a 1,550-nm Fractional Erbium-Glass Laser
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: Surgical scarring is a common cosmetic problem that occurs in various surgical fields, including dermatology. Many trials have been conducted to determine how to prevent this distressing scar formation. A 1,550-nm fractional erbium-glass laser has been used to improve the appearance of surgical scars, but an appropriate treatment time has not been established. OBJECTIVES: To determine the appropriate time to apply 1,550-nm fractional erbium-glass laser treatment for thyroidectomy scars. MATERIALS AND METHODS: Korean patients with linear surgical suture lines after thyroidectomy (N = 65) were treated using a 1,550-nm fractional erbium-glass laser. Patients were divided into three groups according to postoperative treatment time. Laser treatment was started in 40, 15, and 10 patients 3 weeks, 3 months, and 6 months postoperatively, respectively. Each patient was treated three times at 1-month intervals using the same parameters (14 mJ, 100 spots/cm(2) , 2 passes). RESULTS: Mean Vancouver Scar Scale scores were significantly lower after laser treatment (p < .01), with the greatest difference in the group that began treatment 3 weeks postoperatively. Global assessment also indicated better cosmetic outcomes in the 3-week postoperative treatment group. CONCLUSION: Early postoperative 1,550-nm fractional erbium-glass laser treatment of thyroidectomy scars is more effective than later treatment.
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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) | 0.001 | 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) | 0.001 | 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