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Record W2325176118 · doi:10.3899/jrheum.111244

Comorbidities of Psoriatic Arthritis — Metabolic Syndrome and Prevention: A Report from the GRAPPA 2010 Annual Meeting

2012· article· en· W2325176118 on OpenAlexvenueno aff
S. P. Raychaudhuri

Bibliographic record

VenueThe Journal of Rheumatology · 2012
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsoriatic arthritisMetabolic syndromePsoriasisComorbidityIncidence (geometry)Coronary artery diseasePopulationInflammatory arthritisDepression (economics)DiseaseArthritisInternal medicinePhysical therapyIntensive care medicineDermatologyObesityEnvironmental health

Abstract

fetched live from OpenAlex

Psoriatic arthritis (PsA) is associated with serious comorbidities such as increased cardiovascular risk, hypertension, depression, and reduced quality of life. Patients with psoriasis have been observed to have an increased incidence of metabolic syndrome compared with the general population; recently, this has also been observed in patients with PsA. This review focuses on the comorbidities associated with PsA, with an emphasis on risks of coronary artery disease and metabolic syndrome. We also discuss the development of a comprehensive approach for the management of comorbidities of PsA. The review summarizes a presentation at the 2010 annual meeting of GRAPPA (Group for Research and Assessment of Psoriasis and Psoriatic Arthritis).

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)0.001
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 score0.268
Threshold uncertainty score0.310

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.236
Teacher spread0.220 · 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

Citations32
Published2012
Admission routes1
Has abstractyes

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