A Randomized, Controlled Clinical Trial of a Dermocosmetic Containing Vichy Volcanic Mineralizing Water and Probiotic Fractions in Subjects with Rosacea Associated with Erythema and Sensitive Skin and Wearing Protective Masks
Bibliographic record
Abstract
Purpose: Rosacea is a common facial dermatosis, with flares induced by exposome factors. M89PF containing Vichy mineralizing water, probiotic fractions, hyaluronic acid, niacinamide and tocopherol repairs the skin barrier and reinforces skin defences against exposome factors. This study assessed the benefit of M89PF in subjects with rosacea associated with erythema and sensitive skin during the Covid-19 pandemic using protective face masks. Methods: M89PF was compared to usual skin care in a randomized, split-face study, for 30 days in subjects with rosacea associated with erythema and sensitive skin. Clinical evaluations included erythema, desquamation, skin tightness, dryness, burning sensation, itching, stinging, stinging test, and local tolerability. Instrument evaluations included erythema, skin hydration and TEWL. Subject satisfaction was also assessed. Results: Erythema significantly improved with M89PF at both time points (p<0.01 at D15, and p<0.001 at D30). Skin sensitivity assessed by the skin stinging test improved significantly (p<0.01) with M89PF at D30, compared to baseline and usual skin care. Skin erythema, tightness, dryness, hydration and TEWL significantly improved (p≤0.05) with M89PF at D15 and D30, versus baseline and the untreated side. Subjects were highly satisfied with M89PF at D15 and D30. Tolerance was very good in all subjects. Conclusion: In subjects with rosacea, M89PF significantly reduces erythema, skin tightness, dryness and TEWL, and improves skin hydration and skin sensitivity, even when using protective masks. M89PF is well tolerated and received high satisfaction ratings. ClinicalTrialsgov No: NCT05562661.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".