Impact of established cardiovascular disease on outcomes in the randomized global leaders trial
Bibliographic record
Abstract
OBJECTIVE: To investigate the impact of different anti-platelet strategies on outcomes after percutaneous coronary intervention (PCI) in patients with established cardiovascular disease (CVD). METHODS: GLOBAL LEADERS was a randomized, superiority, all-comers trial comparing one-month dual anti-platelet therapy (DAPT) with ticagrelor and aspirin followed by 23-month ticagrelor monotherapy (experimental treatment) with standard 12-month DAPT followed by 12-month aspirin monotherapy (reference treatment) in patients treated with a biolimus A9-eluting stent. Established CVD was defined as ≥1 prior myocardial infarction, PCI, coronary artery bypass operation, stroke, or established peripheral vascular disease. The primary endpoint was a composite of all-cause death or new Q-wave MI at 2-years. The secondary safety endpoint was BARC 3 or 5 bleeding. Exploratory secondary endpoints were the patient-orientated composite endpoint and net adverse clinical events. RESULTS: Among the 15,761 patients in this cohort were 6,693 patients (42.5%) with established CVD. Compared to those without established CVD, these patients had significantly higher rates of the primary (5.1 vs. 3.3%, HR1.59[1.36-1.86], p < .001) and secondary composite endpoints with no significant differences in bleeding. There was a nonsignificant reduction in the primary endpoint in patients with established CVD receiving the experimental treatment (4.6 vs. 5.6%, HR0.82[0.66-1.02], p = .07). When comparing patients without CVD to those with one or three territories of CVD, the hazard ratio for the primary endpoint increased in unadjusted and adjusted models. CONCLUSIONS: The poorer outcomes in patients with established CVD are not mitigated by prolonged monotherapy with a potent P2Y12 inhibitor suggesting a greater need to focus on modifiable risk factors.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".