A meta-analysis of the risk of venous thromboembolism in inflammatory rheumatic diseases
Bibliographic record
Abstract
INTRODUCTION: We performed a meta-analysis to investigate the risk of deep vein thrombosis (DVT) and/or pulmonary embolisms (PEs) in patients with inflammatory arthritis, vasculitis and connective tissue diseases (CTDs) (systemic lupus erythematosus (SLE), Sjögren's syndrome, inflammatory myositis and systemic sclerosis (SSc)). METHODS: PubMed, Embase, the Cochrane databases and MEDLINE were searched to identify full-text English-language publications about adult patients with rheumatologic inflammatory diseases and venous thromboembolisms (VTEs). Data regarding rates of DVTs and PEs were extracted. Using random-effects models, pooled estimates for VTEs in individual and pooled diseases were compared with matched populations where possible. Studies were excluded if VTEs were described in the setting of pregnancy, postoperative outcomes or solely antiphospholipid antibody syndrome. RESULTS: Most of the 5,206 studies were excluded because they did not state the rate or incidence of VTEs. In total, 25 studies remained for analysis. Ten studies that included rheumatoid arthritis comprised an aggregate of 5,273,942 patients and 891,530,181 controls with a cumulative VTE incidence of 2.18% (95% confidence interval (CI): 1.82% to 2.54%) and an odds ratio of 2.23 (95% CI: 2.02 to 2.47) compared to age- and sex-matched populations. Ten studies comprised an aggregate of 54,697 SLE patients with a cumulative VTE incidence of 7.29% (95% CI: 5.82% to 8.75%). Four Sjögren's syndrome studies comprising an aggregate of 25,100 patients demonstrated a cumulative VTE incidence of 2.18% (95% CI: 0.79% to 3.57%). Four studies of inflammatory myositis comprising an aggregate of 8,245 patients yielded a cumulative VTE incidence of 4.03% (95% CI: 2.38% to 5.67%). The SSc- and antineutrophil cytoplasmic antibody vasculitis-related cumulative VTE rates (four studies each) were 3.13% and 7.97%, respectively. CONCLUSIONS: The inflammatory rheumatologic diseases studied were all associated with high rates of VTEs-more than three times higher than in the general population.
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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 | 0.024 | 0.041 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.017 | 0.069 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 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".