Efficacy and safety of ivermectin 1% cream in treatment of papulopustular rosacea: results of two randomized, double-blind, vehicle-controlled pivotal studies.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Treatments for papulopustular rosacea (PPR) are limited. OBJECTIVE: To demonstrate the efficacy and safety of once-daily ivermectin 1% cream in subjects with moderate to severe PPR. METHODS: Two identically designed, randomized, double-blind, controlled studies of ivermectin 1% cream (IVM 1%) or vehicle once daily for 12 weeks were conducted in subjects with moderate to severe PPR. Efficacy assessments were Investigator's Global Assessment (IGA) of disease severity and inflammatory lesion counts. Safety assessments included incidence of adverse events (AEs) and local tolerance parameters. Subjects evaluated their rosacea and completed satisfaction and quality of life (QoL) questionnaires. RESULTS: In both studies, a greater proportion of subjects in the IVM 1% group achieved treatment success (IGA "clear" or "almost clear"): 38.4% and 40.1% vs 11.6% and 18.8% for vehicle (both P<.001), respectively. Ivermectin was superior to vehicle in terms of reduction from baseline in inflammatory lesion counts (76.0% and 75.0% vs 50.0% for both vehicle groups, respectively). For all endpoints, starting at week 4 and continuing through week 12, IVM 1% was statistically significantly superior (P<.001). Fewer subjects treated by IVM 1% reported dermatologic AEs, and a higher proportion of subjects were observed to have no skin dryness or itching compared to vehicle. Significantly more subjects receiving IVM 1% reported having an "excellent" or "good" improvement, along with an improved QoL. CONCLUSION: Ivermectin 1% cream was effective and safe in treating inflammatory lesions of papulopustular rosacea.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it