The risk of venous thromboembolic events in patients with inflammatory bowel disease: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: Inflammatory bowel disease (IBD), comprising Crohn's disease (CD) and ulcerative colitis (UC), is a chronic inflammatory disorder of the gastrointestinal tract that has been associated with increased risk of extraintestinal manifestations, amongst which is venous thromboembolism (VTE). We assessed the risk for VTE in patients with IBD through systematic review and meta-analysis. METHODS: A systematic search for English language studies was conducted in Medline, Scopus, and the Cochrane Library of publications from database inception till August 10, 2020, to identify relevant studies reporting the risk of VTE in patients with IBD. The random-effects and fixed-effect models were used to estimate relative risks (RRs) with their respective 95% confidence intervals (CIs). The quality of the included studies was assessed using the Newcastle-Ottawa scale. RESULTS: Eleven observational studies were included in this meta-analysis, involving 3,175,012 patients with IBD and 920,144,253 controls without IBD. The overall RR for VTE in patients with IBD compared to non-IBD individuals was 2.03 (95%CI 1.72-2.39). An analysis of studies with larger population size demonstrated a lower risk for VTE (RR 1.77, 95%CI 1.48-2.13) among patients with IBD, whereas studies with a smaller population size yielded a greater risk for VTE (RR 2.67, 95%CI 1.97-2.93). After adjustment for smoking and body mass index, the RR for VTE was moderately increased (RR 2.65, 95%CI 1.51-4.65). CONCLUSIONS: The present meta-analysis shows that IBD is linked to a 2-fold increased risk for VTE. Thus, primary prevention against VTE is of the utmost importance.
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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 | 0.012 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.041 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".