Striae treated by a novel combination treatment – sand abrasion and a patent mixture containing 15% trichloracetic acid followed by 6–24 hrs of a patent cream under plastic occlusion
Bibliographic record
Abstract
BACKGROUND: Striae are a common cosmetic problem, especially for women. Little has been published about chemical peel treatment of striae. OBJECTIVE: To recount 5 years experience of striae treated by a novel combination treatment--sand abrasion and a patent mixture containing 15% trichloracetic acid followed by 6-24 h of a patent cream under plastic occlusion. MATERIALS AND METHODS: Sixty-nine females of various phototypes, aged 14-63 years, were treated at various anatomical sites: abdomen (43), lateral thighs (11), breasts (4), back (3), waist (3) and others (5). Striae of all types: fresh, old, mild and severe, were treated. Average follow up was 18 months. RESULTS: After 1-8 treatments (median 4.2), appearance of the striae improved by 70%. Results were best in fresher and more superficial striae. CONCLUSIONS: A novel combination treatment is reported which safely, predictably and effectively improved striae in all skin types.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".