Impact of Clopidogrel Plus Aspirin Versus Aspirin Alone on the Progression of Native Coronary Artery Disease After Bypass Surgery
Bibliographic record
Abstract
BACKGROUND: The effects of dual antiplatelet therapy with aspirin and clopidogrel on the progression of native coronary artery disease after coronary artery bypass grafting are unknown. METHODS AND RESULTS: In the Clopidogrel After Surgery for Coronary Artery DiseasE (CASCADE) trial, a total of 113 patients were randomized to receive aspirin plus clopidogrel or aspirin plus placebo for 1 year after coronary artery bypass grafting. In this secondary analysis, the 92 patients who underwent preoperative and 1-year postoperative angiograms at 2 centers had each of their coronary stenoses graded serially by using 6 thresholds (grade 0 [0%-24%], grade 1 [25%-37%], grade 2 [38%-62%], grade 3 [63%-82%], grade 4 [83%-98%], and grade 5 [99%-100%]). We compared the incidence and degree of evolving coronary artery disease between the 2 treatment groups. A total of 543 preoperative stenoses and occlusions were quantified and followed. At 1-year postoperatively, there were 103 evolving (94 worsened, 9 improved) and 22 new lesions. The right coronary artery territory and sites proximal to a graft were more commonly associated with worsening coronary artery disease (P≤0.02). There were no differences in clinical events between treatment groups, and the proportion of patients with evolving or new lesions was also similar (70% versus 74%, aspirin-clopidogrel versus aspirin-placebo, respectively; P=0.8). However, in evolving or new lesions, the mean grade change (1.1±1.0 versus 1.6±1.1, respectively; P=0.01) and the proportion of new occlusions (7% versus 22%; P=0.02) were lower in the aspirin-clopidogrel group. CONCLUSIONS: The addition of clopidogrel to aspirin correlates with less worsening of native coronary artery disease 1 year after coronary artery bypass grafting. These findings may help guide post-coronary artery bypass grafting antiplatelet therapy. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00228423.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".