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Record W2023266921 · doi:10.3899/jrheum.090232

Resistant Cases of Psoriatic Arthritis: How to Manage Them

2009· article· en· W2023266921 on OpenAlexvenueno aff
Fabiola Atzeni, Piercarlo Sarzi‐Puttini, Ga Vena

Bibliographic record

VenueJournal of Rheumatology Supplement · 2009
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsoriatic arthritisEnthesitisOligoarthritisSpondyloarthropathyPsoriasisPolyarthritisRheumatoid arthritisDermatologyArthritisPopulationDiseaseJoint diseaseDactylitisRheumatoid factorInternal medicinePathologyOsteoarthritis

Abstract

fetched live from OpenAlex

Psoriasis is a chronic, genetically determined and immunomediated inflammatory skin disease that affects 2%-3% of the Caucasian population. Psoriatic arthritis (PsA), which occurs in up to one-third of patients with psoriasis, has a heterogeneous pattern expressed by various manifestations, including mono-oligoarthritis, an erosive and destructive polyarthritis indistinguishable from rheumatoid arthritis (RA), and spondyloarthropathy with axial involvement or enthesitis. Early detection of inflamed joints or axial involvement in patients with PsA is important in order to reduce inflammation and prevent joint destruction, deformity, and functional disability. The treatment of moderate-severe PsA has tended to include the same disease modifying antirheumatic drugs used to treat RA, but there is much less evidence supporting their efficacy and essentially none demonstrating that they slow radiographic joint destruction in PsA. A number of clinical trials have shown that tumor necrosis factor antagonists are generally safe and efficacious in the treatment of PsA, and can inhibit the progression of radiographic damage.

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 score0.183
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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

Citations12
Published2009
Admission routes1
Has abstractyes

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