Impact of inflammation on cognitive function in patients with highly inflammatory rheumatoid arthritis
Bibliographic record
Abstract
OBJECTIVE: To evaluate cognitive function in patients with rheumatoid arthritis (RA) and inflammatory activity. PATIENTS AND METHODS: We performed a cross-sectional study of a cohort of patients with RA initiating their first biological treatment due to moderate-to-high inflammation and a healthy control group (no inflammatory diseases) matched for age, sex and educational level. All participants underwent a comprehensive neuropsychological assessment, with cognitive impairment defined as a Montreal Cognitive Assessment (MoCA) score<26. Additional assessments included various cognitive tests (STROOP, forward and backward digit spans), anxiety and depression scales (Hospital Anxiety and Depression Scale), quality of life measures (Quality of Life-Rheumatoid Arthritis) and average inflammatory activity according to the 28-joint Disease Activity Score (DAS28)-C-reactive protein (CRP) into high activity (DAS28≥3.2) and low activity (DAS28<3.2) groups, also CRP levels and interleukin 6 (IL-6) levels were measured using an ELISA. RESULTS: The study population comprised 140 participants, 70 patients with RA and 70 controls. Patients more frequently experienced cognitive impairment than controls (60% vs 40%; p=0.019) and had lower mean (SD) values in the MoCA (23.6 (3.9) vs 25.1 (3.4); p=0.019. As for subtests of the MoCA, involvement was more marked in patients than in controls for the visuospatial-executive (p=0.030), memory (p=0.026) and abstraction (p=0.039) domains. Additionally, patients scored lower on executive function, as assessed by the backward digit span test (4.0 (1.7) vs 4.7 (1.9); p=0.039). Cognitive impairment is associated with age and a lower educational level in the general population, and among patients with RA with educational level, obesity and average inflammatory activity (DAS28, CRP, and IL-6). CONCLUSIONS: Patients with RA with high inflammatory activity are more susceptible to cognitive impairment, which specifically affects the domains of visuospatial, memory, abstraction and executive function.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".