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Record W4378530731 · doi:10.1080/1744666x.2023.2219897

Topical roflumilast for the treatment of psoriasis

2023· review· en· W4378530731 on OpenAlexaff
Anastasia Drakos, Ronald Vender, Tiago Torres

Bibliographic record

VenueExpert Review of Clinical Immunology · 2023
Typereview
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsMcMaster UniversityDermatrials ResearchUniversity of Ottawa
Fundersnot available
KeywordsRoflumilastMedicineIntertriginousAdverse effectPsoriasisClinical trialApremilastDiscontinuationQuality of life (healthcare)DermatologyIntensive care medicinePharmacologyInternal medicineDiseaseCOPD

Abstract

fetched live from OpenAlex

INTRODUCTION: New non-steroidal topical agents are needed for the treatment of psoriasis. Roflumilast cream 0.3% is a once daily phosphodiesterase-4 inhibitor that was recently approved by the FDA for the treatment of plaque psoriasis in adolescents and adults. It is indicated for use on all body surfaces including intertriginous areas. AREAS COVERED: In this review, we summarize the current knowledge about roflumilast cream for the treatment of psoriasis, highlighting its efficacy and safety profile from published clinical trials. Roflumilast's mechanism of action and pharmacokinetic profile are also discussed. EXPERT OPINION: Positive results were reported across trials with 48% of patients treated with roflumilast achieving an Investigator Global Assessment score of clear or almost clear at 8 weeks in phase III studies. Most adverse events were mild or moderate in severity and few application-site reactions were reported among participants. Unique advantages of the cream are its success in treating intertriginous areas and its ability to reduce symptoms of itch, results of which may significantly improve quality of life for patients. In the future, real-world data and active comparator trials with existing non-steroidal agents are needed to better understand roflumilast's place in the current treatment landscape.

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), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.178
GPT teacher head0.463
Teacher spread0.285 · 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

Citations13
Published2023
Admission routes1
Has abstractyes

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