Prevalence and extent of calcification over aorta, coronary and carotid arteries in patients with rheumatoid arthritis
Bibliographic record
Abstract
OBJECTIVE: To evaluate the prevalence and pattern of arterial calcification in patients with rheumatoid arthritis (RA). BACKGROUND: Patients with RA are prone to premature atherosclerosis; nonetheless the prevalence and extent of atherosclerosis in different vascular beds and their relationship to each other remain unknown. METHODS: We studied the distribution and extent of arterial calcification in 85 RA patients and 85 age-and sex-matched controls. Arterial calcification as determined by calcium score (CS) were measured using multi-detector computed tomography in thoracic aorta, coronary and carotid arteries. RESULTS: Compared with controls, RA patients had a significantly higher average CS and prevalence of CS > 0 in aorta, coronary and carotid arteries and overall arteries (all P < 0.05). After adjusting for age and sex, RA patients had a significantly higher relative risk of developing calcification in the aorta [Odds Ratio (OR) = 19.5, 95% Confidence Interval (CI): 8.0-47.6], followed by the carotid arteries (OR = 5.7, 95% CI:1.7-18.7) and coronary arteries (OR = 5.0, 95% CI:2.2-11.1) compared with controls (all P < 0.01). Amongst RA patients aged >60, 90% had diffuse arterial calcification, especially over the thoracic aorta, compared with 55% of controls who had arterial calcification clustered in the coronary arteries (P < 0.05). RA patients with total CS > 0 were older with a higher urea level and C-reactive protein than those without arterial calcification, no factor was found to be independently predictive for arterial calcification (all P > 0.05). CONCLUSIONS: Our results demonstrated that RA patients had earlier onset, more diffuse arterial calcification over multiple vascular beds and more preferential involvement of thoracic aorta, rather than coronary artery when compared with control.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".