Impact of biologic therapies and small molecules on the risk of major adverse cardiovascular events in patients with inflammatory bowel diseases: systematic review and meta-analysis of randomized controlled trials
Bibliographic record
Abstract
INTRODUCTION: The aim of this study is to estimate the risk of major adverse cardiovascular events (MACEs) in adult patients with inflammatory bowel disease (IBD) treated with biologic therapies and small molecules. METHODS: Databases were searched up to July 2022 to identify eligible studies that assessed the risk of MACEs in patients (age≥18 years) with IBD treated with biologic therapies and small molecules. Primary outcome was the rate of MACEs observed in patients receiving biologic or small molecules therapies during induction and maintenance phases of RCTs. RESULTS: In total 64 studies were included in the analysis. 22 RCTs involving 12,196 patients with Crohn's disease (CD) were included and 32 RCTs involving 22,007 patients with ulcerative colitis (UC). In patients with CD, risk of MACE was not higher than placebo during induction or maintenance phases, infliximab (OR 0.63, 95% CI 0.07-6.14) and ustekinumab (OR 0.50, 95% CI 0.03-8.04). In patients with UC, risk of MACE was not higher than placebo, tofacitinib (OR 1.30, 95% CI 0.15-11.21) and upadcitinib (OR 0.50, 95% CI 0.03-7.97) during induction or maintenance. CONCLUSION: The use of biologic therapies and small molecules among adult patients with IBD had no significant impact on the risk of MACEs during induction and maintenance period of RCTs. Real world data is warranted to assess long-term risks.
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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 | 0.015 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.029 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".