Cardiovascular and neurovascular complications in systemic lupus Erythematosus: A cross-sectional study of subclinical atherosclerosis and cognitive dysfunction
Bibliographic record
Abstract
Systemic Lupus Erythematosus (SLE) is a chronic autoimmune condition that has increase appreciated cardiovascular and neurovascular complications. This report presents a cross-sectional study of 100 SLE patients (18-55 years) who were evaluated for the prevalence and relationship of subclinical atherosclerosis and cognitive dysfunction. Subclinical atherosclerosis was measured by carotid intima-media thickness (CIMT) and cognition was measured by scoring the Montreal Cognitive Assessment (MoCA). The study found that 36% of participants had subclinical atherosclerosis, while 42% had cognitive impairment. Both subclinical atherosclerosis and cognitive dysfunction were associated with longer disease duration, corticosteroid exposure, higher SLEDAI scores and the presence of antiphospholipid antibodies. Data shows the high prevalence of concomitant vascular and cognitive dysfunction in SLE patients and the need for early screening for both outcomes in a non-invasive manner.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 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".