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Record W4409033045 · doi:10.1503/cmaj.241862

Ticagrelor Compared to Clopidogrel in Acute Coronary Syndromes trial (TC4): a Bayesian pragmatic cluster randomized controlled trial

2025· article· en· W4409033045 on OpenAlexaffvenueabout
Stan Kutcher, Nandini Dendukuri, Sonny Dandona, Lyne Nadeau, James M. Brophy

Bibliographic record

VenueCanadian Medical Association Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsClopidogrelTicagrelorRandomized controlled trialMedicineCluster (spacecraft)Acute coronary syndromeInternal medicineCluster randomised controlled trialBayesian networkCardiologyMyocardial infarctionComputer scienceArtificial intelligenceComputer network

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.022
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.005
GPT teacher head0.261
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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