An aqueous gel fixed combination of clindamycin phosphate 1.2% and benzoyl peroxide 3.75% for the once-daily treatment of moderate to severe acne vulgaris.
Bibliographic record
Abstract
OBJECTIVE: To evaluate efficacy, safety, and tolerability of a fixed combination clindamycin phosphate 1.2% and benzoyl peroxide 3.75% (clindamycin-BP 3.75%) aqueous gel in moderate to severe acne vulgaris. METHODS: A total of 498 patients, 12-40 years of age, were randomized to receive clindamycin-BP 3.75% or vehicle in a double-blind, controlled 12-week, 2-arm study evaluating safety and efficacy using inflammatory and noninflammatory lesion counts, Evaluator Global Severity Scores (EGSS) and subject self-assessment (SSA). In addition, patients completed a patient satisfaction survey (PSS), acne-specific QoL questionnaire, and assessed their facial skin for shininess/oiliness. RESULTS: Clindamycin-BP 3.75% demonstrated statistical superiority to vehicle in reducing both inflammatory and noninflammatory lesions and acne severity. Clindamycin-BP 3.75% showed greater efficacy relative to vehicle in assessments of skin oiliness, SSA and PSS. No substantive differences were seen in cutaneous tolerability among treatment groups and no patients discontinued treatment with Clindamycin-BP 3.75% because of adverse events. LIMITATIONS: Data from controlled studies may differ from clinical practice. It is not possible to determine the contributions from the individual active ingredients. CONCLUSIONS: Clindamycin-BP 3.75% provides statistically significant greater efficacy than vehicle with a favorable safety and tolerability 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.004 | 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".