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Topical Tacrolimus: A Review of Its Uses in Dermatology

2005· review· en· W1964034039 on OpenAlexvenueno aff
Denise K. Woo, William D. James

Bibliographic record

VenueDermatitis · 2005
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsTacrolimusMedicineDermatologyAtopic dermatitisVitiligoRosaceaClinical trialAcneTransplantationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Tacrolimus is one of the newer immunosuppressants that act by inhibiting T-cell activation and cytokine release. It is approved for the treatment of atopic dermatitis, and its safety and efficacy have been extensively studied in large-scale randomized controlled trials and open-label studies worldwide involving over 12,000 patients and up to 3 years of follow-up. Since its introduction, anecdotal reports and case series have found topical tacrolimus also to be effective and well tolerated in patients with a variety of other skin disorders, including other types of eczema, papulosquamous disorders, disorders of cornification, rosacea, other inflammatory skin conditions, vesiculobullous diseases, vitiligo, connective-tissue diseases, graft-versus-host disease, and follicular disorders. This paper reviews the currently available evidence on the use of topical tacrolimus for these conditions, as well as its safety profile and cost-effectiveness. Tacrolimus does appear to offer a safe and efficacious alternative that minimizes the need for topical glucocorticoids and does not cause skin atrophy. However, the risk of systemic absorption is increased with generalized disruption of the skin barrier. Further large-scale studies are needed to clarify the efficacy of topical tacrolimus in a variety of conditions for which anecdotal reports of success exist, especially in regard to different racial groups and in comparison to (as well as in combination with) other existing therapies. Long-term safety data should continue to be monitored and reported.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.658
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.042
GPT teacher head0.366
Teacher spread0.324 · 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 teacher head, not a consensus.

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

Citations29
Published2005
Admission routes1
Has abstractyes

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