The safety and efficacy of four different fixed combination regimens of adapalene 0.1%/benzoyl peroxide 2.5% gel for the treatment of acne vulgaris: results from a randomised controlled study
Bibliographic record
Abstract
BACKGROUND: Combined use of a retinoid and antimicrobial is recommended for acne, however, local tolerability issues may compromise patient adherence and treatment outcome. OBJECTIVES: , Galderma, France) regimens improve local tolerability during the first four weeks of treatment without impairing efficacy at Week 12. MATERIALS & METHODS: In total, 120 subjects with mild-to-moderate acne received, during the first four weeks, A/BPO daily overnight (A/BPO-EN), A/BPO daily for three hours (A/BPO-3h), A/BPO daily overnight and a provided moisturizer lotion (A/BPO-moisturizer), or A/BPO every other night (A/BPO-EoN). Local tolerance assessments included signs and symptoms, global worst score (GWS), and total sum score (TSS). Efficacy was assessed based on lesion counts, investigator global assessment (IGA), and total lesion count reduction. Adherence, subject satisfaction, and overall safety were also assessed. RESULTS: The mean TSS was significantly reduced at Week 1 with A/BPO-EoN vs. A/BPO-EN (p<0.05), and A/BPO-EoN led to the lowest GWS and a decrease in severity of stinging/burning and erythema (p<0.05). The A/BPO-moisturizer regimen prevented dryness and scaling compared with the A/BPO-EN regimen. The median decrease in lesions from baseline was similar in all groups: up to 67% for total, 72% for inflammatory, and 70% for non-inflammatory lesion counts. Adherence, IGA, patient satisfaction, and overall safety were excellent. CONCLUSIONS: Modulating treatment regimens during the first four weeks improved local tolerability without impacting overall efficacy outcome after 12 weeks and may improve treatment adherence during the first weeks of therapy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".