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Systematic Review on the Efficacy, Safety, and Cost-Effectiveness of Topical Calcineurin Inhibitors in Atopic Dermatitis

2015· review· en· W227601970 on OpenAlexvenueno aff
Brian Keng Yong Chia, Hong Liang Tey

Bibliographic record

VenueDermatitis · 2015
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsTacrolimusPimecrolimusMedicineCalcineurinAtopic dermatitisDermatologySafety profileCost effectivenessAdverse effectPharmacologySurgeryRisk analysis (engineering)Transplantation

Abstract

fetched live from OpenAlex

BACKGROUND: Topical calcineurin inhibitors (TCIs) are widely used as an alternative to topical corticosteroids (TCSs) in treating of atopic dermatitis, but their risk versus benefit compared with TCSs remains unclear. OBJECTIVE: We performed a systematic review of the efficacy, safety, and cost-effectiveness of TCI compared with TCS and emollients. METHODS: Published meta-analysis, systematic reviews, and individual studies from January 2005 to January 2015 on the comparative efficacy, safety, and cost-effectiveness of TCI against emollients and TCS were included. RESULTS: Tacrolimus is comparable to TCS in efficacy, safety profile, and cost-effectiveness. Pimecrolimus has a similar safety profile compared with TCS, emollients, and tacrolimus. It is superior to emollients but inferior to TCS and tacrolimus in efficacy and cost-effectiveness. The association of tacrolimus with malignancy remains uncertain. CONCLUSIONS: Tacrolimus is an efficacious and cost-effective alternative to TCS, but its benefits need to be weighed against its still uncertain risk for malignancy. Pimecrolimus is appropriate for mild atopic dermatitis when TCS or tacrolimus is unsuitable.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.000
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)0.0000.000

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 head0.039
GPT teacher head0.342
Teacher spread0.303 · 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 designSystematic review
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

Citations33
Published2015
Admission routes1
Has abstractyes

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