Atherosclerotic vascular events in a single large lupus cohort: prevalence and risk factors.
Bibliographic record
Abstract
OBJECTIVE: To determine prevalence and type of atherosclerotic vascular events (AVE) occurring after entry to the University of Toronto Lupus Clinic; and to compare risk factors in patients with systemic lupus erythematosus (SLE) with AVE to matched SLE controls without AVE. METHODS: Patients with SLE attending the University of Toronto Lupus Clinic who did not have AVE prior to clinic entry were included. Patients have been followed at 2-6 months since 1970 according to a standard protocol. Cases with AVE were matched for sex, era at first clinic visit (1970s, 1980s, 1990s +), inception status, age at first visit, and duration of followup. Chi-square, Fisher's exact, paired T test, and McNemar test were used. Comparison of risk factors for the development of AVE was done using a stepwise conditional logistic regression model for matched pairs. RESULTS: In a total cohort of 1087 SLE patients followed from 1970 until 2004, the prevalence of AVE was 10.9%, and in 561 inception patients it was 9.6%. In multivariate analyses, neuropsychiatric involvement was significantly associated with AVE in both the total and inception cohorts. Smoking was also associated with AVE in the inception cohort, whereas the number of coronary artery disease (CAD) risk factors and vasculitis were significant in the total cohort. CONCLUSION: AVE are major contributors to the clinical presentation of late-stage lupus. A combination of lupus related factors and classic CAD risk factors contributed to the development of AVE.
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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 | 0.003 | 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 | 0.000 |
| 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".