Risk of venous thromboembolism in patients with rheumatoid arthritis: a meta-analysis of observational studies
Bibliographic record
Abstract
Abstract Background Thrombotic events, such as venous thromboembolism (VTE) are a major health complication linked to rheumatoid arthritis (RA). We performed a meta-analysis to evaluate the risk of VTE, including deep vein thrombosis (DVT) and pulmonary embolism (PE), in adults with RA compared to the general population. Methods MEDLINE and EMBASE databases were searched from inception to April 2022 to identify publications meeting the following criteria: (1) prospective and retrospective original data from cohort or case-control studies; (2) pre-specified RA definition; (3) clearly defined VTE outcomes; (4) reported risk estimate and 95% confidence intervals (95% CIs); (5) at least sex- and age-matched to comparison group; and (6) English language. Of 372 studies screened, 14 were included (602,760 RA patients, 123,076 VTE events) and their quality was assessed by an adaptation of the STROBE quality scoring scale. Results The pooled risk ratios of VTE, DVT and PE in patients with RA were 1.57 (95% CI 1.41–1.76), 1.58 (95% CI 1.26–1.97) and 1.57 (95% CI 1.30–1.88), respectively. The I 2 value of 92%, 94% and 92% for VTE, DVT and PE analyses, suggesting considerable heterogeneity. There were no significant differences in risk estimates among the five subgroup analyses: quality score ( P = 0.35, I 2 = 0%); sex ( P = 0.31, I 2 = 1.7%); study year ( P = 0.81, I 2 = 0%); population source ( P = 0.35, I 2 = 0%); study design ( P = 0.62, I 2 = 0%). Conclusions Results show that patients with RA are at a higher risk of VTE, DVT and PE compared to the general population.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".