A dermocosmetic regimen is effective and safe for mild to moderate acne in subjects of all skin phototypes
Bibliographic record
Abstract
Abstract Background Acne vulgaris is a chronic inflammatory skin condition with a multifactorial pathogenesis. The clinical appearance of acne and its sequelae may differ according to phototypes. Data regarding the potential benefit of dermocosmetics (DC) regardless of phototype are lacking and assessing acne improvement can be difficult, given the lack of visual support in people with skin of colour. A DC regimen, combining a cleanser and a cream, both containing thermal spring water, has been developed for the management of mild‐to‐moderate acne, for all skin phototypes studied. Objectives To assess the efficacy and local tolerance of a DC routine in mild‐to‐moderate acne and to visualize the clinical improvement in all skin phototypes. Methods In an open‐labelled, multicentre clinical study, subjects of any phototype aged above 11 years and above with mild ( N = 48, 55.2%) or moderate ( N = 39, 44.8%) facial acne applied the DC twice daily for 56 days. No other acne care was allowed. Acne severity, as well as inflammatory and noninflammatory lesion counts, were assessed at baseline, Days 28 and 56. Photographs were taken using a novel imaging tool based on multimodal acquisition, to show clinical improvement over time. Results Eighty‐seven subjects, 41 adults and 46 adolescents, were included; 59.8% were female and were aged between 11 and 44 years. The total acne lesion count decreased by 34%, the noninflammatory lesion count by 28%, and the inflammatory lesion count by 52% at Day 56. All % changes were statistically significant ( p < 0.05). The GEA score decreased, with 25% of subjects showing at least a one‐grade improvement at Day 28 and 59% at Day 56. Local tolerance was excellent. Conclusions The tested DC care is beneficial for the improvement of acne and is very well tolerated in all skin phototypes studied.
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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 | 0.001 | 0.003 |
| 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) | 0.000 | 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".