For Your Eyes Only: 007 Tips for the Management of Cardiovascular Risk Factors in Antineutrophil Cytoplasmic Antibody–Associated Vasculitis
Bibliographic record
Abstract
Premature atherosclerosis has been observed during the course of different systemic inflammatory diseases, such as rheumatoid arthritis (RA), systemic lupus erythematosus, and antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).1-3 As a result, cardiovascular (CV) events, including myocardial infarction, stroke, heart failure, coronary artery disease, and death, occur 1.65 to 3 times more commonly in patients with AAV as compared to the general population, and the risk appears to be highest in the first year following diagnosis.3 After the first year, however, CV disease (CVD) remains the most important cause of death besides malignancy and infection. It has been demonstrated that traditional risk factors for CVD, such as hypertension, dyslipidemia, diabetes, age, and a family history of CVD, are highly prevalent in AAV. In this issue of The Journal of Rheumatology , Moiseev et al demonstrated that smoking and pulmonary involvement were also associated with an increased risk of CVD.4 Otherwise, inflammation is also a well-known risk factor of CVD.1-3 Therefore, in AAV, not only is control of disease activity critical to prevent CV events but also the management of modifiable CV risk factors is crucial to prevent CV morbidity and mortality.5,6 What areas of special interest should medical specialists who follow patients with AAV consider when managing CV risk factors? First, glucocorticoid (GC) dose minimization strategies may be an important step forward in managing modifiable CV risk factors because it has been demonstrated that GC even at a lower dose (< 5 mg) contribute to an increase in CVD in diseases such as AAV.7 Recently, rapid taper regimes are being trialed as a method of decreasing cumulative exposure to GCs. More importantly, it has been demonstrated that avacopan, a novel orally administered small-molecule drug that selectively blocks the effects … Address correspondence to Dr. J.W. Cohen Tervaert, Division of Rheumatology, Department of Medicine, University of Alberta, 8-130 Clinical Sciences Building, 11350 83 Ave NW, Edmonton, AB T6G2G3, Canada. Email: cohenter{at}ualberta.ca.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.168 | 0.078 |
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".