A fixed-dose combination of adapalene 0.1%–BPO 2.5% allows an early and sustained improvement in quality of life and patient treatment satisfaction in severe acne
Bibliographic record
Abstract
INTRODUCTION: Acne has a significant negative impact on quality of life (QoL): lack of self-confidence, depressive symptoms and suicidal thoughts. The objective was to assess the impact of an initial and continued therapy in severe acne patients through patient-related outcomes (PRO). METHODS: In two sequential double-blind randomized studies, patients received either adapalene 0.1% and benzoyl peroxide 2.5% (A-BPO) or vehicle, associated with doxycycline 100 mg for 12 weeks. Patients having obtained at least a good improvement according to investigator global assessment were re-randomized for a 24-week therapy with A-BPO or vehicle. PROs were assessed using the Acne-QoL and a patient treatment satisfaction questionnaire. RESULTS: QoL was improved at week 12 in all domains with a significant difference for the Acne-symptoms domain (p < 0.001) in favor of the A-BPO regimen. Additional 24-week A-BPO treatment showed a sustained improvement, significant (p < 0.001) for all domains except for Acne-symptoms. In the vehicle arm, QoL significantly worsened for all domains (p < 0.03). At weeks 12 and 36, a significantly higher proportion of patients receiving A-BPO vs. vehicle reported high satisfaction for five out of six treatment satisfaction items. CONCLUSIONS: The early and sustained improvement of these PROs is correlated to the fast onset of action of A-BPO, the treatment effectiveness and a good safety profile.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".