Accumulation of coronary artery disease risk factors over three years: Data from an international inception cohort
Bibliographic record
Abstract
OBJECTIVE: To examine the accumulation of risk factors over 3 years in a multicenter, international inception cohort of patients with systemic lupus erythematosus (SLE). METHODS: The Systemic Lupus International Collaborating Clinics registry for atherosclerosis comprises 27 centers from 11 countries. An inception cohort of 935 patients with SLE was assembled, according to a standardized protocol, from 2000 to 2006 to study risk factors for atherosclerosis. Both classic and other coronary artery disease (CAD) risk factors were collected at entry and through 3 years of followup. Therapy was documented over the 3 years. The Framingham 10-year risk factor profile was calculated for each patient at year 1 and year 3. RESULTS: A total of 278 patients from the inception cohort were followed for 3 years and constituted the population for this study. At enrollment a substantial number of patients already demonstrated several risk factors for CAD, both classic and other. All risk factors increased from enrollment over the 3 years of followup. Treatment of hypertension and hypercholesterolemia also increased over 3 years, but less so for hypercholesterolemia. The Framingham 10-year CAD risk profile was higher in men than in women both at entry and at 3 years, and remained unchanged over the 3 years. Corticosteroid use increased only slightly over 3 years, but use of antimalarials and immunosuppressive agents increased to a greater extent. CONCLUSION: Patients with SLE should be monitored for CAD risk factors from the time of diagnosis and appropriate treatment should be instituted early.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".