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Record W4412695333 · doi:10.1002/phar.70047

Effect of P2Y12 Inhibitors on Major Adverse Cardiovascular Events After Coronary Artery Bypass Graft Surgery: A Population‐Based Cohort Study

2025· article· en· W4412695333 on OpenAlexafffundabout
Arden R. Barry, Hamed Helisaz, Abdollah Safari, Peter Loewen

Bibliographic record

VenuePharmacotherapy The Journal of Human Pharmacology and Drug Therapy · 2025
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsCentre for Advancing Health OutcomesSurrey Memorial HospitalBC Innovation CouncilUniversity of British Columbia
FundersFaculty of Pharmaceutical Sciences, University of British Columbia
KeywordsMaceMedicinePercutaneous coronary interventionHazard ratioMyocardial infarctionClopidogrelInternal medicinePopulationCardiologyCohortCoronary artery bypass surgerySurgeryConfidence intervalArtery

Abstract

fetched live from OpenAlex

BACKGROUND: Patients who undergo coronary artery bypass graft (CABG) surgery remain at high risk for major adverse cardiovascular events (MACE) despite contemporary preventive pharmacotherapy. Although commonly used in practice, it is uncertain whether P2Y12 inhibitors reduce MACE in patients post-CABG surgery. METHODS: This retrospective, population-based cohort study evaluated the effect of exposure to P2Y12 inhibitors, versus no exposure, on MACE using linked administrative databases that included all cardiac revascularization procedures, hospitalizations, and prescriptions for the population of British Columbia, Canada. All adults who underwent CABG surgery from 2002 to 2020 were eligible. The primary outcome was time to MACE, defined as a composite of all-cause death, nonfatal myocardial infarction, and nonfatal ischemic stroke using Cox proportional hazards models with inverse probability treatment weighting. RESULTS: Included were 15,439 patients. Mean age was 66 years, and 83% were male. Fifty-seven percent had a previous myocardial infarction. Sixteen percent were prescribed a P2Y12 inhibitor (of which, 83% were prescribed clopidogrel) within 30 days of CABG surgery. Median exposure time was 23 months. After probability-weighting and adjustment for relevant covariates, exposure to P2Y12 inhibitors reduced the 1- and 5-year hazard of MACE (hazard ratio [HR] 0.39, 95% confidence interval [CI] 0.27-0.55 and HR 0.65, 95% CI 0.54-0.79, respectively). Exposure to P2Y12 inhibitors was also associated with a lower hazard of all-cause death, cardiovascular death, and an extended MACE outcome that included unstable angina and percutaneous coronary intervention. Adherence to P2Y12 inhibitor therapy, based on the proportion of days covered, did not affect these outcomes. CONCLUSIONS: In this population-based cohort study, use of P2Y12 inhibitors reduced the hazard of MACE in patients post-CABG surgery at 1 and 5 years of follow-up. These results support the use of P2Y12 inhibitors (primarily clopidogrel), in addition to other standard cardiovascular preventive therapy, in patients who undergo CABG surgery.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.300
Teacher spread0.292 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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