Sustained Efficacy and Safety of Pimecrolimus Cream 1% when Used Long‐term (up to 26 Weeks) to Treat Children with Atopic Dermatitis
Bibliographic record
Abstract
Atopic dermatitis is a chronic, inflammatory condition affecting up to 20% of children. Here, we report the long-term extension study of previously published pivotal phase III studies with pimecrolimus cream 1%. Two identical, 26-week studies (6-week, double-blind, followed by 20-week, open-label phases) were conducted in children aged 2 to 17 years with atopic dermatitis. Pooled efficacy and safety analyses were performed. At day 43, 34.8% pimecrolimus-treated patients versus 18.4% in the vehicle group (p < 0.001) were clear/almost clear (Investigators' Global Assessment 0/1) of disease, with significant differences (p < 0.05) between treatment groups for all double-blind visits in all parameters. Pimecrolimus was significantly more effective (based on the Eczema Area and Severity Index) in treating the face and neck versus the rest of the body (p < 0.0001) and versus vehicle (p < 0.0001) in the double-blind phase. Disease control was sustained in the pimecrolimus group throughout the whole study. Patients treated with vehicle during the double-blind phase experienced rapid, marked improvement when switched to pimecrolimus in the open-label phase. The incidence of adverse events was low and comparable between treatment groups. In conclusion, pimecrolimus cream 1% is effective and well tolerated in the long-term control of children with mild to moderately severe atopic dermatitis.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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".