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Record W2953971561 · doi:10.1016/j.jacc.2019.02.079

Rivaroxaban Plus Aspirin Versus Aspirin in Relation to Vascular Risk in the COMPASS Trial

2019· article· en· W2953971561 on OpenAlexaff
Sonia S. Anand, John W. Eikelboom, Leanne Dyal, Jackie Bosch, Christoph Neumann, Petr Widimský, Álvaro Avezum, Jeffrey L. Probstfield, Nancy Cook Bruns, Keith A.A. Fox, Deepak L. Bhatt, Stuart J. Connolly, Salim Yusuf

Bibliographic record

VenueJournal of the American College of Cardiology · 2019
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsMcMaster UniversityPopulation Health Research InstituteHamilton Health Sciences
Fundersnot available
KeywordsMedicineRivaroxabanAspirinHazard ratioInternal medicineMyocardial infarctionConfidence intervalStroke (engine)WarfarinCardiologyRelative riskDiabetes mellitusSurgeryAtrial fibrillation

Abstract

fetched live from OpenAlex

BACKGROUND: The COMPASS (Cardiovascular Outcomes for People Using Anticoagulation Strategies) trial showed that the combination of low-dose rivaroxaban and aspirin reduced major vascular events in patients with stable vascular disease. OBJECTIVES: The purpose of this study was to identify subsets of patients at higher risk of recurrent vascular events, which may help focus the use of rivaroxaban and aspirin therapy. METHODS: COMPASS patients with vascular disease were risk stratified using 2 methods: the REACH (REduction of Atherothrombosis for Continued Health) atherothrombosis risk score and CART (Classification and Regression Tree) analysis. The absolute risk differences for rivaroxaban with aspirin were compared to aspirin alone over 30 months for the composite of cardiovascular death, myocardial infarction, stroke, acute limb ischemia, or vascular amputation; for severe bleeding; and for the net clinical benefit. RESULTS: High-risk patients using the REACH score were those with 2 or more vascular beds affected, history of heart failure (HF), or renal insufficiency, and by CART analysis were those with ≥2 vascular beds affected, history of HF, or diabetes. Rivaroxaban and aspirin combination reduced the serious vascular event incidence by 25% (4.48% vs. 5.95%, hazard ratio: 0.75; 95% confidence interval: 0.66 to 0.85), equivalent to 23 events prevented per 1,000 patients treated for 30 months, at the cost of a nonsignificant 34% increase in severe bleeding (1.34; 95% confidence interval: 0.95 to 1.88), or 2 events caused per 1,000 patients treated. Among patients with ≥1 high-risk feature identified from the CART analysis, rivaroxaban and aspirin prevented 33 serious vascular events, whereas in lower-risk patients, rivaroxaban and aspirin treatment led to the avoidance of 10 events per 1,000 patients treated for 30 months. CONCLUSIONS: In patients with vascular disease, further risk stratification can identify higher-risk patients (≥2 vascular beds affected, HF, renal insufficiency, or diabetes). The net clinical benefit remains favorable for most patients treated with rivaroxaban and aspirin compared with aspirin.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.336
Threshold uncertainty score0.347

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.276
Teacher spread0.260 · 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 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

Citations124
Published2019
Admission routes1
Has abstractyes

Explore more

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