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Record W4407358806 · doi:10.1080/09546634.2025.2464107

Oral roflumilast for psoriasis: a real-world 24-week prospective cohort study

2025· article· en· W4407358806 on OpenAlexaff
Ana Maria Lé, Orhan Yilmaz, Martim Luz, Tiago Torres

Bibliographic record

VenueJournal of Dermatological Treatment · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineRoflumilastPsoriasisProspective cohort studyCohortCohort studyDermatologyInternal medicineCOPD

Abstract

fetched live from OpenAlex

OBJECTIVE: Psoriasis is a chronic inflammatory skin disease with significant physical and psychological burden, often associated with comorbidities such as obesity and cardiovascular disease. Current treatments include conventional systemic therapies and targeted biologic and non-biologic therapies, with several limitations related to safety, efficacy, and cost. Roflumilast, a selective PDE4 inhibitor, shows potential as an oral therapy for psoriasis due to its anti-inflammatory effects and favorable safety profile. This study aimed to evaluate the real-world effectiveness and safety of oral roflumilast in moderate-to-severe plaque psoriasis. METHODS: Prospective cohort study at a single center in Portugal including adults with moderate-to-severe psoriasis treated with oral roflumilast 500 mcg once daily. RESULTS: Among fifty-eight patients (baseline median PASI 13.7 ± 5.5), 63.0% achieved PASI < 5, 47.8% PASI < 3, and 21.7% PASI < 1 by week 24 (mNRI). Weight loss occurred in 53.4%, with a mean reduction of 6 kg ± 4.3. Mild gastrointestinal symptoms were common but rarely caused discontinuation. No serious adverse events were reported. CONCLUSION: Roflumilast demonstrated real-world effectiveness and a favorable safety profile in moderate-to-severe plaque psoriasis. Additional benefits, including weight loss and no need for laboratory monitoring, make it a promising treatment option, particularly for patients with comorbidities or limited access to biologic therapies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.940

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.035
GPT teacher head0.304
Teacher spread0.269 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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