Ticagrelor Compared to Clopidogrel in Acute Coronary Syndromes trial (TC4): a Bayesian pragmatic cluster randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Dual antiplatelet therapy is the standard of care for acute coronary syndrome, but uncertainty exists regarding the optimal regimen for patients in North America. We sought to compare the effectiveness and safety of acetylsalicylic acid (ASA) and ticagrelor or clopidogrel in patients with acute coronary syndrome from a single tertiary academic centre in Montréal, Canada. METHODS: We conducted a pragmatic, open-label, time-clustered (bimonthly between October 2018 and March 2021), randomized controlled trial. The primary effectiveness end point was a composite of all-cause mortality, nonfatal myocardial infarction, or ischemic stroke. The primary safety end point was hospital admissions for bleeding. We ascertained 12-month outcomes from the Quebec universal electronic health databases. We designed and analyzed the study within a Bayesian paradigm to supplement existing knowledge. The primary analysis was a Bayesian logistic regression model with an informed focused prior from previously randomly assigned North American patients. Robustness was evaluated with vague and other prespecified informative priors, spanning reasonable pre-existing beliefs. We defined clinically important benefits and harms as risk reductions exceeding a 10% difference. RESULTS: = 555). Major acute cardiovascular events occurred in 50 (11.1%) patients assigned to ticagrelor and 64 (11.5%) assigned to clopidogrel (relative risk [RR] 0.95, 95% credible interval 0.67-1.35, with a vague prior). The primary analysis with an informed focused prior resulted in probabilities of a clinically meaningful ticagrelor benefit (RR < 0.9), equivalence (0.9 ≤ RR ≤ 1.1) or harm (RR ≥ 1.1) of 2%, 41%, and 57%, respectively. For the safety end point, there was no consistent signal of benefit or harm with ticagrelor. Sensitivity analyses with a range of prior beliefs gave generally consistent results. INTERPRETATION: Whether we analyzed this trial with a vague or a range of reasonable informed priors, we found no strong evidence for the superiority of ticagrelor over clopidogrel in North American patients. Current guidelines favouring ticagrelor over clopidogrel might take this new evidence into future consideration. TRIAL REGISTRATION: Clinicaltrials.gov no. NCT04057300.
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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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".