Use of Pimecrolimus Cream in Disorders Other than Atopic Dermatitis
Bibliographic record
Abstract
BACKGROUND: Pimecrolimus is indicated for treatment of atopic dermatitis and has been evaluated in many other disorders. OBJECTIVE: To review the efficacy of pimecrolimus in treatment of disorders other than atopic dermatitis. METHODS: We performed a PubMed search of the English-language literature using the key word "pimecrolimus." We reviewed articles reporting the use of pimecrolimus in disorders other than atopic dermatitis and classified them by the type of study used to evaluate efficacy. RESULTS: Randomized, double-blind studies have shown that pimecrolimus is superior to vehicle in treatment of seborrheic dermatitis, hand dermatitis, and asteatotic eczema but have yielded conflicting results regarding intertriginous psoriasis and vitiligo. Open-label studies involving four or more patients have shown favorable results in many disorders, including contact dermatitis, rosacea, lichen sclerosus, and oral and genital lichen planus. Case reports have shown that topical pimecrolimus may be useful in cutaneous graft-versus-host disease, lichen striatus, cutaneous lichen planus, and many other disorders. CONCLUSIONS: Topical pimecrolimus appears to be an effective treatment for many disorders other than atopic dermatitis, especially seborrheic dermatitis, hand dermatitis, and asteatoic eczema. It may be effective in many other disorders, but its role in these disorders remains to be clarified by additional studies.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".