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Record W2270028972 · doi:10.1186/s13075-016-0935-z

Serum levels of 14-3-3η protein supplement C-reactive protein and rheumatoid arthritis-associated antibodies to predict clinical and radiographic outcomes in a prospective cohort of patients with recent-onset inflammatory polyarthritis

2016· article· en· W2270028972 on OpenAlexafffund
Nathalie Carrier, A. Marotta, Artur J. de Brum‐Fernandes, Patrick Liang, Ariel Masetto, Henri A. Ménard, Walter P. Maksymowych, Gilles Boire

Bibliographic record

VenueArthritis Research & Therapy · 2016
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsUniversity of AlbertaMcGill University Health CentreUniversité de SherbrookeCentre Hospitalier Universitaire de Sherbrooke
FundersCanadian Institutes of Health ResearchArthritis Society
KeywordsMedicineRheumatoid arthritisC-reactive proteinInternal medicineBiomarkerAutoantibodyRheumatologyProspective cohort studyArthritisGeeInflammationPolyarthritisRheumatoid factorImmunologyAntibodyGeneralized estimating equation

Abstract

fetched live from OpenAlex

BACKGROUND: Age, C-Reactive Protein (CRP) and autoantibodies (Abs) are associated with worse prognosis in patients with recent-onset inflammatory polyarthritis (EPA). Serum 14-3-3η protein is a joint-derived biomarker that up-regulates cytokines and enzymes that perpetuate local and systemic inflammation and may contribute to joint damage. Our objective was to evaluate, over a 5-year prospective period of observation, the additional prognostic potential of serum 14-3-3η protein in EPA patients. METHODS: Clinical variables, serum and radiographs (scored according to the Sharp/van der Heijde (SvH) method) were collected serially. Relationships between serum 14-3-3η protein and other biomarkers were computed with Spearman correlations. Outcomes were Simple Disease Activity Index (SDAI) scores and joint damage progression: ΔSvH for SvH score and ΔErosion for its Erosive component. The additional predictive contribution of 14-3-3η was defined using generalized estimating equations (GEE) and generalized linear mixed models (GLMM). RESULTS: Among 331 patients, baseline 14-3-3η was ≥0.19 and ≥0.50 ng/ml in 153 (46.2 %) and 119 (36.0 %), respectively; CRP was >8.0 mg/L in 207 (62.5 %), and at least one Ab (Rheumatoid Factor, anti-CCP2 or anti-Sa/citrullinated vimentin) was positive in 170 (51.5 %). Elevated 14-3-3η levels moderately correlated with positive Abs, but not with elevated CRP. Baseline 14-3-3η ≥0.19 ng/ml was associated with more radiographic progression over 5 years. The optimal levels of baseline 14-3-3η to predict radiographic progression was defined by ROC curves at 0.50 ng/ml. Levels of 14-3-3η ≥0.50 ng/ml at baseline were associated with lower likelihoods of ever reaching SDAI remission (RR 0.79 (95 % CI 0.64-0.98), p = 0.03) and higher subsequent progression of Total and Erosion SvH scores. Elevated levels of 14-3-3η during follow-up also predicted higher subsequent progression, even in patients in SDAI remission. Decreases of 14-3-3η levels by at least 0.76 ng/ml and reversion to negative during follow-up associated with less subsequent radiographic progression. In multivariate models, elevated 14-3-3η interacted with positive Abs, elevated CRP and older age to predict subsequent radiographic progression. CONCLUSIONS: Levels of 14-3-3η protein ≥0.50 ng/ml predict poorer clinical and radiographic outcomes in EPA, both at baseline and after initiation of treatment, even in SDAI remitters. 14-3-3η, CRP, age and Abs represent independent predictors of subsequent joint damage. TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT00512239 . Registered August 6, 2007.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.321
Teacher spread0.297 · 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.

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

Citations42
Published2016
Admission routes2
Has abstractyes

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