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Record W2943931440 · doi:10.1177/1203475419847950

Off-label Uses of Topical Pimecrolimus

2019· review· en· W2943931440 on OpenAlexaff
Matthew Ladda, Vijay K. Sandhu, Arvin Ighani, Jensen Yeung

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2019
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsProbity Medical ResearchHealth Sciences CentreSunnybrook Health Science CentreWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsPimecrolimusMedicineDermatologyCalcineurinAdverse effectAtopic dermatitisTacrolimusPharmacologySurgery

Abstract

fetched live from OpenAlex

Pimecrolimus is a topical calcineurin inhibitor currently approved for second-line use in the management of mild-to-moderate atopic dermatitis in patients age 2 years and older. Given the safety profile and nonsteroidal mechanism of pimecrolimus, there has been significant interest in its use in the treatment of a variety of dermatological conditions. This article reviews research that has been published on the off-label uses of topical pimecrolimus, with a focus on published RCTs. Convincing evidence exists supporting pimecrolimus' efficacy in oral lichen planus and seborrheic dermatitis. For other conditions studied to date, pimecrolimus may prove to be a useful treatment alternative when conventional agents fail. Adverse events seen with its off-label use were typically application site reactions, the most common being a transient burning sensation. In summary, pimecrolimus appears to be an effective agent in the treatment of multiple dermatological conditions and may be worth considering as a pharmacologic alternative in several conditions when first-line treatment fails, or for areas that are more susceptible to the adverse effects of topical corticosteroids.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.099
GPT teacher head0.367
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations5
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Cutaneous Medicine and Surgery→Same topicDermatology and Skin Diseases→French-language works237,207→