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Record W2614433745 · doi:10.3899/jrheum.161465

Cryoglobulinemia in Sjögren Syndrome: A Disease Subset that Links Higher Systemic Disease Activity, Autoimmunity, and Local B Cell Proliferation in Mucosa-associated Lymphoid Tissue

2017· article· en· W2614433745 on OpenAlexvenueno aff
Luca Quartuccio, Chiara Baldini, Roberta Priori, Elena Bartoloni, Francesco Carubbi, Alessia Alunno, Saviana Gandolfo, Serena Colafrancesco, Roberto Giacomelli, Roberto Gerli, Guido Valesini, Stefano Bombardieri, Salvatore De Vita

Bibliographic record

VenueThe Journal of Rheumatology · 2017
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
FundersEuropean League Against Rheumatism
KeywordsMedicineAutoimmunityCryoglobulinemiaSystemic diseasePathologyAutoimmune diseaseLymphatic systemImmunologyImmunopathologyDiseaseB cellAntibody

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare systemic disease activity by validated tools, i.e., the European League Against Rheumatism Sjögren Syndrome Disease Activity Index (ESSDAI) and the Clinical ESSDAI (ClinESSDAI) scores, between primary Sjögren syndrome (pSS) with positive serum cryoglobulins and pSS without serum cryoglobulins. METHODS: There were 825 consecutive patients with pSS who were retrospectively evaluated. RESULTS: The ESSDAI and the ClinESSDAI scores were significantly higher in cryoglobulin-positive patients (p < 0.0001, for both scores). Cryoglobulinemia was significantly associated with these domains: constitutional (p = 0.003), lymphadenopathy (p = 0.007), glandular (p = 0.0002), cutaneous (p < 0.0001), peripheral nervous system (p < 0.0001), hematological (p = 0.004), and biological (p < 0.0001). CONCLUSION: Cryoglobulin-positive patients show the highest systemic activity in pSS.

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 score0.007
Threshold uncertainty score0.459

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 integrity0.0000.001
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 head0.018
GPT teacher head0.267
Teacher spread0.249 · 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

Citations49
Published2017
Admission routes1
Has abstractyes

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