Rheumatoid Arthritis Disadvantages Younger Patients for Cardiovascular Diseases: A Meta-Analysis
Bibliographic record
Abstract
INTRODUCTION: The incidence of cardiovascular diseases (CVD) is increased in rheumatoid arthritis (RA) patients. It remains unclear whether the load of RA increases cardiovascular (CV) risk especially in female and in younger RA patients. In the present study we aim to analyse the influence of age and gender on CV risk in RA relative to the general population, using meta-analysis of direct comparative studies. METHOD: Systematic literature search was performed in MEDLINE for studies reporting on occurrence of CV events in RA as compared to the general population, stratified for gender and/or age. Quality was appraised using the Newcastle-Ottawa scale. Meta-analysis was performed on rate ratios using inverse variance methods. RESULTS: There were 1372 records screened and 13 studies included. RA females and males have a similar higher risk (95%CI) to develop stroke with RR 1.35 (1.30-1.40) and RR 1.31 (1.21-1.43); coronary artery disease with RR 1.65 (1.54-1.76) versus RR 1.55 ((1.41-1.69) in men; cardiovascular disease with RR 1.56 (1.49-1.62) versus 1.50 (1.41-1.60). The highest incidence of CV events was observed in the youngest patients, RR 2.59 (1.77-3.79), whereas older patients had the lowest relative risk when compared to the general population, RR 1.27 (1.16-1.38). CONCLUSION: The relative risk of RA patients for CVD is age dependent, but does not depend on gender: the relative risk on CVD appears to be equally raised for males and females, while relatively young RA patients (<50 years) have the highest, and older patients the lowest relative risk.
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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 | 0.011 | 0.019 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.051 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".