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Record W3011295729 · doi:10.1080/14740338.2020.1744562

An update on the safety of apremilast for the treatment of plaque psoriasis

2020· review· en· W3011295729 on OpenAlexaff
Eran Shavit, Neil H. Shear

Bibliographic record

VenueExpert Opinion on Drug Safety · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhosphodiesterase function and regulation
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsApremilastMedicinePsoriasisAdverse effectDermatologyThalidomideDrugIntensive care medicinePharmacologyPsoriatic arthritisInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Apremilast is an oral phosphodiesterase inhibitor, approved for moderate to severe psoriasis in adults. Despite the advancement in dermatology, and the introduction of newer biological drugs, apremilast this is the only novel oral medication that has been introduced to treat psoriasis in the past two decades. Like additional other more traditional oral medications, its advantages and disadvantages should be discussed and compared within this group of oral-systemic medications.Area covered: We conducted a review to assess the safety, efficacy, and adherence of apremilast for psoriasis treatment. The aim of this paper was to provide an overview of apremilast regarding its mechanism of action, indications, and adverse events.Expert opinion: Apremilast has been found to be a safe and efficacious drug for moderate-to-severe psoriasis, and despite minor numerous side effects, most of the patients adhere to the therapy. Therefore, overall, it may be easily embraced as the drug of choice for this category. However, for more severe psoriasis cases newer biological drugs seem to be superior to apremilast.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.693

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 head0.036
GPT teacher head0.332
Teacher spread0.296 · 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 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

Citations9
Published2020
Admission routes1
Has abstractyes

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