MétaCan
Menu
Back to cohort
Record W3041426077 · doi:10.1097/hco.0000000000000766

The COMPASS trial: practical considerations for application after coronary artery bypass surgery

2020· review· en· W3041426077 on OpenAlexaff
Rachel Eikelboom, Hellmuth R. Muller Moran, Carly Lodewyks, Weiang Yan, Ivan Zelentsov, Rakesh C. Arora

Bibliographic record

VenueCurrent Opinion in Cardiology · 2020
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsMedicineAspirinRivaroxabanMyocardial infarctionCoronary artery diseaseStroke (engine)RegimenArteryCompassWarfarinSurgeryRandomized controlled trialBypass graftingCardiologyInternal medicineAtrial fibrillation

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: We review the cardiovascular outcomes for people using anticoagulation strategies (COMPASS) trial with particular emphasis on patients with a history of remote coronary artery bypass grafting (CABG) and those who were enrolled 4-14 days after CABG. We provide practical guidance for selecting patients with the greatest potential to benefit who have acceptable bleeding risk. In particular, we address concerns about postoperative bleeding and discuss the relative merits of rivaroxaban and aspirin versus P2Y12 inhibition and aspirin. RECENT FINDINGS: The COMPASS trial demonstrated that rivaroxaban and aspirin reduce myocardial infarction, stroke, and cardiovascular death in patients with coronary artery disease, without a demonstrated effect on bypass graft patency in the first postoperative year. SUMMARY: After CABG, cardiac surgeons should consider using the COMPASS regimen in patients at high risk of thrombosis whose risk of bleeding is acceptable. If used, the COMPASS regimen should be continued indefinitely in conjunction with other pharmacological risk reduction therapies to prevent long-term atherothrombotic events.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.880
Threshold uncertainty score0.879

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.382
GPT teacher head0.492
Teacher spread0.110 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Opinion in CardiologySame topicAtrial Fibrillation Management and OutcomesFrench-language works237,207