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Record W2047219664 · doi:10.3899/jrheum.080234

Association of Severe Inflammatory Polyarthritis in Primary Sjögren’s Syndrome: Clinical, Serologic, and HLA Analysis

2009· article· en· W2047219664 on OpenAlexafffundvenue
Khulood Mohammed, Janet Pope, Nicole Riché, William Brintnell, Ewa Cairns, Robert S. Coles, David A. Bell

Bibliographic record

VenueThe Journal of Rheumatology · 2009
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsLondon Health Sciences CentreWestern UniversitySt Joseph's Health Care
FundersArthritis Society
KeywordsMedicinePolyarthritisSerologyImmunologyHuman leukocyte antigenArthritisDermatologyAntibodyAntigen

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the clinical, serologic, and MHC class II antigen characteristics of a group of patients with primary Sjögren's syndrome (SS) and severe arthritis. METHODS: A case-control study comparing 35 patients with primary SS: 17 with inflammatory arthritis, 18 without arthritis. RESULTS: All patients fulfilled criteria for primary SS. There were no demographic or clinical features other than inflammatory arthritis, often erosive, that distinguished patients with arthritis from those without. All patients had anti-Ro/SSA autoantibodies, most had anti-La/SSB autoantibodies, and a high percentage of these patients had anti-citrullinated peptide antibodies absent in those without inflammatory arthritis. HLA typing revealed that most patients with anti-citrulline antibodies expressed MHC class II molecules with the shared epitope (SE). The presence of DRB1*0301 linked to the expression of anti-Ro/SSA autoantibodies did not influence the level or frequency of anti-citrulline antibodies in these patients. CONCLUSION: Severe arthritis with features resembling rheumatoid arthritis including erosive disease can occur in primary SS, particularly among those with anti-citrulline antibodies and the SE.

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 score0.005
Threshold uncertainty score0.199

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 head0.010
GPT teacher head0.263
Teacher spread0.253 · 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

Citations30
Published2009
Admission routes3
Has abstractyes

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