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Record W4306292527 · doi:10.3899/jrheum.220948

Sex Effect in Psoriatic Arthritis

2022· letter· en· W4306292527 on OpenAlexaffvenueabout
Dafna D. Gladman

Bibliographic record

VenueThe Journal of Rheumatology · 2022
Typeletter
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsDactylitisMedicinePsoriatic arthritisPsoriasisDiseaseEnthesitisArthritisInternal medicineInflammatory arthritisImmunology

Abstract

fetched live from OpenAlex

Psoriatic arthritis (PsA) is an inflammatory disease that affects as many as 30% of patients with psoriasis, an immune-mediated inflammatory skin condition. Several domains are recognized in PsA, including peripheral arthritis, axial disease, enthesitis, dactylitis, and skin and nail manifestations.1 Although PsA affects men and women equally, there may be a sex influence on the development and expression of the disease.2 In the past few decades, there has been increasing interest in the effect of sex on the manifestations and impact of PsA as well as on the response to therapy. There may be some genetic reasons. For example, a paternal transmission was noted in PsA.3 The role of female hormones has not been confirmed because although some studies suggested that women with PsA had low pregnancy rates, this was not observed in a recent study.4,5 A difference in axial disease expression between men and women was noted in a 1992 study that compared 82 women with 112 men with axial disease and showed that there was more advanced disease in men.6 Similar observations were reported by Queiro et al, who found that axial disease together with HLA-B27 occurred more commonly among men, whereas women had more … Address correspondence to Dr. D.D. Gladman, Toronto Western Hospital, University Health Network, 399 Bathurst Street, 1E410B, Toronto, ON M5T 2S8, Canada. Email: dafna.gladman{at}utoronto.ca.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.009
GPT teacher head0.253
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEditorial

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

Citations3
Published2022
Admission routes3
Has abstractyes

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