Clindamycin phosphate 1.2%/adapalene 0.15%/benzoyl peroxide 3.1% gel for moderate-to-severe acne: Efficacy and safety results from two randomized phase 3 trials
Bibliographic record
Abstract
BACKGROUND: A three-pronged acne treatment approach-combining an antibiotic, antibacterial agent, and retinoid-may provide greater efficacy than single/double treatments. Topical clindamycin phosphate 1.2%/adapalene 0.15%/benzoyl peroxide (BPO) 3.1% gel (IDP-126) is the first fixed-dose triple-combination in development for acne. OBJECTIVE: To confirm efficacy, safety, and tolerability of IDP-126 gel in acne treatment. METHODS: Two phase 3, double-blind, 12-week studies randomized participants aged ≥9 years with moderate-to-severe acne (N = 183; N = 180) 2:1 to once-daily IDP-126 or vehicle gel. Co-primary endpoints comprised participants achieving ≥2-grade reduction from baseline in Evaluator's Global Severity Score (EGSS) and clear/almost clear skin (treatment success) and change from baseline in inflammatory/noninflammatory lesion counts. Treatment-emergent adverse events (TEAEs) were assessed. RESULTS: At week 12, 49.6% and 50.5% of participants achieved treatment success with IDP-126 versus 24.9% and 20.5% with vehicle (P < .01, both). IDP-126 also provided significantly greater reductions in inflammatory/noninflammatory lesions versus vehicle (least-squares mean percent range: 72.7% to 80.1% vs 47.6% to 59.6%; P < .001, all). Most TEAEs were of mild-moderate severity. LIMITATIONS: Inter-observer bias/variation in acne severity ratings, limited treatment duration, and population differences that may not generalize to real-world populations. CONCLUSION: The innovative fixed-dose, triple-combination IDP-126 gel was efficacious and well tolerated in 2 clinical studies of participants with moderate-to-severe acne.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".