Colchicine for stroke prevention in patients with coronary artery disease: a systematic review and meta‐analysis
Bibliographic record
Abstract
Background and purpose Although clinical trials suggest that colchicine may reduce the risk of vascular events in patients with a history of coronary artery disease, its effect on the prevention of cerebrovascular events still remains unclear. Methods A systematic review and meta‐analysis was performed of all available randomized controlled trials (RCTs) reporting on incident strokes during the follow‐up of patients with a history of cardiovascular disease randomized to colchicine treatment or control (placebo or usual care). Results Four RCTs were identified, including a total of 5553 patients (mean age 61 years, 81% males), with a follow‐up ranging from 1 to 36 months. Colchicine treatment was associated with a significantly lower risk of incident stroke during follow‐up compared to control (risk ratio 0.31, 95% confidence interval 0.13–0.71), without heterogeneity across included studies ( I 2 = 0%). Based on the pooled incident stroke rate of control groups (0.9%) in the included RCTs, it was estimated that administration of low‐dose colchicine to 161 patients with coronary artery disease would prevent one stroke during a follow‐up of 23 months. Conclusion Colchicine treatment decreases stroke risk in patients with a history of coronary artery disease. The effect of colchicine in secondary stroke prevention is currently being evaluated in an ongoing RCT.
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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) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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".