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Record W1863159733 · doi:10.3899/jrheum.080193

Determination of the Subset of Sjögren’s Syndrome with Articular Manifestations by Anticyclic Citrullinated Peptide Antibodies

2009· article· en· W1863159733 on OpenAlexvenueno aff
Naoki Iwamoto, Atsushi Kawakami, Mami Tamai, Keita Fujikawa, Kazuhiko Arima, Toshiyuki Aramaki, Shin‐ya Kawashiri, Kunihiro Ichinose, Makoto Kamachi, Hideki Nakamura, Tomoki Origuchi, Hiroaki Ida, Katsumi Eguchi

Bibliographic record

VenueThe Journal of Rheumatology · 2009
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAntibodyPeptideDermatologyImmunologyBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate whether anticyclic citrullinated peptide antibodies (anti-CCP) predict the subset of Japanese patients with Sjögren's syndrome (SS) with articular manifestations. METHODS: Eighty-seven patients with SS were enrolled. Prevalence of anti-CCP antibodies, IgM rheumatoid factor, anti-Ro/SSA antibody, anti-La/SSB antibody, and serum IgG concentration and their relation to articular manifestations were examined. Articular manifestations included morning stiffness and the presence of tender or swollen joints. RESULTS: Eighty-seven SS patients were divided into 3 groups: 14 secondary SS with nonerosive rheumatoid arthritis (RA); 47 primary SS with articular manifestations; and 26 primary SS without articular manifestations. Ten out of 14 secondary SS with nonerosive RA expressed anti-CCP. Anti-CCP was the only statistically proven marker preferentially distributed in patients with articular manifestations (the first 2 groups) compared to primary SS without such manifestations; however, its frequency was low in primary SS. No patient with primary SS without articular manifestations expressed anti-CCP. CONCLUSION: Anti-CCP is found in the subset of Japanese with SS with articular manifestations although most of those with anti-CCP-positive SS were classified as secondary SS with RA.

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 score0.039
Threshold uncertainty score0.153

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.008
GPT teacher head0.238
Teacher spread0.230 · 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
Published2009
Admission routes1
Has abstractyes

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