Effect of pimecrolimus cream 1% on the long‐term course of pediatric atopic dermatitis
Bibliographic record
Abstract
BACKGROUND: This report investigates the effect of pimecrolimus cream 1% (Elidel, Novartis pharma AG, Basel, Switzerland), a nonsteroid, cell-selective, cytokine inhibitor on the course of atopic dermatitis (AD), as assessed by changes in body surface involvement and pattern of drug use over time. METHODS: Data from 961 patients in two 1-year double-blind, multicenter, pediatric studies of similar design were analyzed: 250 infants (aged 3-23 months) were randomized 4 : 1 and 711 children (aged 2-17 years) were randomized 2 : 1 to receive pimecrolimus cream 1% or vehicle, respectively. Emollients were used by all patients to alleviate dry skin and, at the first signs or symptoms of AD, pimecrolimus or vehicle was applied twice daily to prevent progression to flares. If flares occurred in either group, moderately potent topical corticosteroids were mandated. RESULTS: Pimecrolimus was applied for 68.4% (infants) and 53.8% (children) of study days, and frequency of use of pimecrolimus decreased over time, reflecting improvement in disease control. The mean total body surface area affected decreased continuously over time. Significantly more patients in the pimecrolimus than control groups were maintained without corticosteroid therapy (infants: 63.7% vs. 34.8%, P < 0.001; children: 57.4% vs. 31.6%, P < 0.001, respectively). CONCLUSION: The need for pimecrolimus therapy decreases over time as the patients' disease improves. Hence, once long-term management of AD with pimecrolimus is established, the burden of disease for both the patient and the caregiver decreases significantly and disease-free periods become more frequent.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".