MétaCan
Menu
Back to cohort
Record W1999976580 · doi:10.3899/jrheum.120250

Etanercept in Psoriatic Arthritis

2012· review· en· W1999976580 on OpenAlexvenueno aff
A Spadaro, Ennio Lubrano, Nicola Ferrara, Raffaele Scarpa

Bibliographic record

VenueJournal of Rheumatology Supplement · 2012
Typereview
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsoriatic arthritisEtanerceptPsoriasisArthritisDermatologyInternal medicineTumor necrosis factor alpha

Abstract

fetched live from OpenAlex

In this update on etanercept (ETN) in psoriatic arthritis (PsA) we analyze this drug's mechanism of action, clinical efficacy/effectiveness, optimal dosage, disease-modifying antirheumatic drugs (DMARD) association, radiological progression, safety, switching aspects, and pharmacoeconomy. The efficacy/effectiveness of ETN in PsA has been demonstrated in randomized placebo-controlled trials as well as in observational studies representing routine clinical practice. At 1 and 2 years, ETN inhibited radiographic disease progression, assessed by the modified total Sharp score. ETN (generally at a dosage of 50 mg/weekly) can be used either in monotherapy or in combination with DMARD such as methotrexate. A systematic search of randomized, placebo-controlled trials of ETN to treat adults with plaque psoriasis or PsA suggests that the short-term risk/benefit ratio is favorable. Longterm studies, such as observational studies, confirmed this safety profile of ETN. A variable percentage of patients withdrew anti-tumor necrosis factor-α (TNF-α) inhibitor treatment owing to inefficacy or poor tolerability. Observational studies showed that in the case of treatment failure with 1 agent, switching to the other agent may also be useful in patients with PsA because of the different molecular structures and targets of available TNF-α blockers. The clinical effect of ETN is associated with favorable pharmacoeconomic considerations.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.347
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 designOther design
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

Citations12
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Rheumatology SupplementSame topicSpondyloarthritis Studies and TreatmentsFrench-language works237,207