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Record W2316059854 · doi:10.3899/jrheum.120248

The Actual Role of Therapy with Traditional Disease-modifying Antirheumatic Drugs in Psoriatic Arthritis

2012· review· en· W2316059854 on OpenAlexvenueno aff
Enrique R. Soriano

Bibliographic record

VenueJournal of Rheumatology Supplement · 2012
Typereview
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLeflunomidePsoriatic arthritisSulfasalazineRheumatoid arthritisMethotrexateInternal medicineAntirheumatic drugsCombination therapyAntirheumatic AgentsDiseasePsoriasisOncologyDermatology

Abstract

fetched live from OpenAlex

Although several reviews and metaanalyses have shown lack of evidence of efficacy of traditional disease-modifying antirheumatic drugs (DMARD) in psoriatic arthritis (PsA), these drugs are very often used and are recommended by treatment guidelines around the world as first-line therapy for most patients with PsA. Some new investigations showed that higher doses of methotrexate (MTX) are more beneficial for patients with PsA with peripheral involvement. Also, observational studies have shown that retention of MTX for patients with PsA is comparable to that of patients with rheumatoid arthritis (RA), and that with MTX, remission is achievable by around 20% of patients with PsA. Sulfasalazine, leflunomide, and cyclosporine have also been shown to be effective in a small number of patients, although the overall effect on disease activity for these drugs is small. Although combination of anti-tumor necrosis factor agents with traditional DMARD is not mandatory in PsA as it is in RA, there is evidence that some extra benefit might be achieved when combinations are used, not only for the joints but for the skin. There is still room for the use of traditional DMARD in PsA, and for the time being, DMARD should still be considered as first-line therapy for most patients with PsA.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.986
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
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)0.0010.000

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 head0.042
GPT teacher head0.316
Teacher spread0.274 · 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

Citations23
Published2012
Admission routes1
Has abstractyes

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