89% Vichy mineralizing water with hyaluronic acid is a well‐tolerated adjunct treatment that helps restore skin barrier function in dry skin‐related inflammatory dermatoses and post‐procedure skin care: A Canadian study
Bibliographic record
Abstract
INTRODUCTION: Minéral 89 (M89), comprised of 89% Vichy mineralizing water and hyaluronic acid, has been formulated to help strengthen and restore skin barrier. AIM: Assess tolerance and efficacy of M89 in post-esthetic procedures and dry skin-related facial dermatoses. METHOD: Adults post-esthetic procedure or presenting with inflammatory dermatoses (47 subjects; mean age 40.9 ± 13.2 years; any Fitzpatrick or skin phototype), applied M89 for 4 weeks, once or twice daily, as an adjuvant treatment. Information on clinical signs and subject-reported symptoms, skin characteristics, tolerance, and subject and investigator satisfaction were collected. RESULTS: Following 4 weeks of M89 use, significant decreases with complete resolution of erythema (27.6%), desquamation (29.8%), irritation (32%), and skin dehydration (35.8%), as compared to baseline signs and symptoms, were observed. Overall grading improvements for erythema (84.8%; p < 0.001), desquamation (91.7%; %; p < 0.003), irritation (91.7%; %; p < 0.015), and skin hydration (46.2%; p < 0.015) were noted. There was no significant improvement in papules and pustules. Evaluation of subjective signs demonstrated significant decreases in skin sensations such as burning (-73%; p < 0.0001), itching (-71%; p < 0.0001), stinging-tingling (-66.7%; p < 0.0001), as well as in skin dryness (-60%; p < 0.0001). M89 texture was rated very pleasant by 90% of patients. Investigators assessed M89 tolerance to be either good or very good (93%), and satisfactory or highly satisfactory impact on patient's skin (91.5%). CONCLUSION: M89 is a highly tolerable adjuvant treatment that significantly improved clinical signs and symptoms related to a compromised skin barrier in various facial dermatoses and post-aesthetic procedures.
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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) | 0.001 | 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 | 0.001 |
| 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".