Screening and Management of Atherosclerotic Cardiovascular Disease in Inflammatory Arthritis: A Comprehensive Approach for the Rheumatologist
Bibliographic record
Abstract
Inflammatory arthritis (IA) is associated with an increased risk of atherosclerotic cardiovascular disease (ASCVD) and contributes to significant morbidity and mortality. Early identification and treatment of conventional cardiovascular disease (CVD) risk factors are pivotal in mitigating ASCVD risk among the IA population. Equally crucial is the proactive management of inflammatory disease, necessitating a thorough discussion of the risks and benefits, particularly regarding the use of some advanced therapeutic agents indicated for IA, which may carry an increased risk of CVD in high‑risk subgroups. This article reviews the current evidence for optimal CVD screening in IA. We underscore the importance of a holistic approach that incorporates conventional risk assessment tools, biomarkers, imaging techniques, and interdisciplinary cooperation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".