Real-World Experience to Understand the Usage of Sebamed® Antibacterial Cleansing Foam in the Prevention of Acne
Bibliographic record
Abstract
Background: Acne vulgaris is a common condition affecting millions globally, with a high prevalence during puberty. Adult-onset acne, particularly in women, is on the rise. Treatment focuses on sebum control and improving appearance, but adherence poses challenges. Aim and objective: This study aimed to assess the effectiveness of Sebamed® antibacterial cleansing foam in preventing acne in real-world settings in India. Methods: This study was a retrospective, multi-centric observational study conducted in 51 Indian healthcare centres. It focused on adult patients with acne vulgaris treated with Sebamed® antibacterial cleansing foam. The study included adult patients of either sex with mild-to-moderate acne or a propensity to develop acne without known allergies or sensitivities to cosmetic products. Results: In this retrospective analysis of 486 patients, the majority had moderate to severe acne (Grade 2 and Grade 3). Most patients had oily skin (47.9%) and facial acne (92.5%). Sebamed® patients with different grades of acne preferred antibacterial cleansing foam and the median duration of treatment was 2 months. Most patients used the foam twice a day and substantial improvement was observed in 56.4%, with a complete resolution of acne in 3.5%. Most patients experienced better to much better efficacy outcomes in different acne parameters, including oiliness (92.2%), papules (90.7%), pustules (86.3%), nodules (82.1%), open comedones (81.9%) and closed comedones (77.2%). Side effects were observed in 2.5% of patients. Conclusion: Sebamed® antibacterial cleansing foam shows promising effectiveness and tolerability as a treatment for acne vulgaris. Further research is needed to validate these findings in larger populations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".