Randomized Placebo-controlled Trial of Metronidazole 1% Cream with Sunscreen SPF 15 in Treatment of Rosacea
Bibliographic record
Abstract
BACKGROUND: Rosacea is a photoaggravated dermatosis responsive to treatment with topical and oral antibiotics. A formulation combining metronidazole 1% cream with sunscreen SPF 15 was developed for the treatment of rosacea. OBJECTIVE: The objective of this study was to determine the safety and efficacy of a formulation combining metronidazole 1% cream with sunscreen SPF 15 in the treatment of moderate to severe rosacea. METHODS: One hundred and twenty patients with moderate to severe rosacea were enrolled for a randomized, placebo-controlled (vehicle containing sunscreen with SPF 15), double-blind study. Study cream was applied twice daily to the entire face over a 12-week period. RESULTS: Treatment with metronidazole 1% cream with sunscreen SPF 15 resulted in significant improvement (p <0.05) in inflammatory lesion count, erythema and telangiectasiae scores, and investigator and patient global assessment scores compared with baseline and placebo. Adverse reactions related to study medication were typically mild, occurred at the site of application, and were reversible. There was no difference between the safety profiles of metronidazole 1% cream with sunscreen SPF 15 and placebo. CONCLUSIONS: The combined topical formulation of metronidazole 1% cream with sunscreen SPF 15 was an effective, well-tolerated topical agent for the treatment of moderate to severe rosacea.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".