Effect of Addition of Clopidogrel to Aspirin on Subdural Hematoma: Meta-Analysis of Randomized Clinical Trials
Bibliographic record
Abstract
BACKGROUND: Clopidogrel combined with aspirin is routinely prescribed after coronary artery stenting, in patients with acute coronary syndromes, and recently to prevent stroke in patients with acute minor ischemic stroke and TIA. Subdural hematomas are an important complication of antithrombotic treatment, but the risk associated with clopidogrel plus aspirin has not been previously defined. PURPOSE: To quantify the risk of subdural hematoma associated with dual antiplatelet therapy with clopidogrel plus aspirin. METHODS: Randomized clinical trials comparing clopidogrel plus aspirin with aspirin alone were identified by searching the Cochrane Central Register of Controlled Trials from 1990 to 2014, and restricted to those with more than 7 days of treatment. Two reviewers independently extracted data about subdural hematomas. RESULTS: Of 24 randomized trials testing clopidogrel added to aspirin, results for subdural hematoma were available for 11 trials, of which eight did not identify any subdural hematomas. The three trials reporting subdural hematomas were double-blind and included patients with recent lacunar stroke, acute coronary syndromes or atrial fibrillation with a total of 23,136 patients (mean age 66 years) and reported 39 subdural hematomas during a mean follow-up 2.1 years per patient. Clopidogrel plus aspirin was associated with a significantly increased risk of subdural hematoma compared with aspirin alone (risk ratio 2.0, 95% CI 1.0, 3.8; P = 0.04; fixed effects model; I2 for heterogeneity of 0%, P = 0.51). The average absolute incidence of subdural hematoma averaged 1.1 (95% CI 0.7,1.6) per 1000 patient - years among those assigned clopidogrel plus aspirin in 11 randomized trials. CONCLUSIONS: The absolute rate of subdural hematoma during dual antiplatelet therapy is low, averaging 1.1 per 1000 patient-years. Chronic treatment with clopidogrel plus aspirin significantly increases the risk of subdural hematoma compared with aspirin alone.
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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 | 0.021 | 0.055 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.025 | 0.060 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| 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".