MétaCan
Menu
Back to cohort

Antithrombotic Therapy in Patients With Atrial Fibrillation and Acute Coronary Syndrome Treated Medically or With Percutaneous Coronary Intervention or Undergoing Elective Percutaneous Coronary Intervention

2019· article· en· W2976861767 on OpenAlexaff
Stephan Windecker, Renato D. Lópes, Tyler Massaro, Charlotte Jones-Burton, Christopher B. Granger, Ronald Aronson, Gretchen Heizer, Shaun G. Goodman, Harald Darius, W. Schuyler Jones, Michael Aschermann, David Brieger, Fernando Cura, Thomas Engstrøm, Viliam Fridrich, Sigrun Halvorsen, Kurt Huber, Hyun‐Jae Kang, José L. Leiva-Pons, Basil S. Lewis, Germán Málaga, Nicolas Méneveau, Béla Merkely, Davor Miličić, João Morais, Tatjana Potpara, Dimitar Raev, Manel Sabaté, Suzanne de Waha‐Thiele, Robert C. Welsh, Denis Xavier, Roxana Mehran, John H. Alexander

Bibliographic record

VenueCirculation · 2019
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsCanadian VIGOUR CentreWorkers Compensation Board of AlbertaSt. Michael's Hospital
Fundersnot available
KeywordsMedicinePercutaneous coronary interventionAntithromboticCardiologyAtrial fibrillationInternal medicineAcute coronary syndromePercutaneousMyocardial infarction

Abstract

fetched live from OpenAlex

Background: The safety and efficacy of antithrombotic regimens may differ between patients with atrial fibrillation who have acute coronary syndromes (ACS), treated medically or with percutaneous coronary intervention (PCI), and those undergoing elective PCI. Methods: Using a 2×2 factorial design, we compared apixaban with vitamin K antagonists and aspirin with placebo in patients with atrial fibrillation who had ACS or were undergoing PCI and were receiving a P2Y 12 inhibitor. We explored bleeding, death and hospitalization, as well as death and ischemic events, by antithrombotic strategy in 3 prespecified subgroups: patients with ACS treated medically, patients with ACS treated with PCI, and those undergoing elective PCI. Results: Of 4614 patients enrolled, 1097 (23.9%) had ACS treated medically, 1714 (37.3%) had ACS treated with PCI, and 1784 (38.8%) had elective PCI. Apixaban compared with vitamin K antagonist reduced International Society on Thrombosis and Haemostasis major or clinically relevant nonmajor bleeding in patients with ACS treated medically (hazard ratio [HR], 0.44 [95% CI, 0.28–0.68]), patients with ACS treated with PCI (HR, 0.68 [95% CI, 0.52–0.89]), and patients undergoing elective PCI (HR, 0.82 [95% CI, 0.64–1.04]; P interaction =0.052) and reduced death or hospitalization in the ACS treated medically (HR, 0.71 [95% CI, 0.54–0.92]), ACS treated with PCI (HR, 0.88 [95% CI, 0.74–1.06]), and elective PCI (HR, 0.87 [95% CI, 0.72–1.04]; P interaction =0.345) groups. Compared with vitamin K antagonists, apixaban resulted in a similar effect on death and ischemic events in the ACS treated medically, ACS treated with PCI, and elective PCI groups ( P interaction =0.356). Aspirin had a higher rate of bleeding than did placebo in patients with ACS treated medically (HR, 1.49 [95% CI, 0.98–2.26]), those with ACS treated with PCI (HR, 2.02 [95% CI, 1.53–2.67]), and those undergoing elective PCI (HR, 1.91 [95% CI, 1.48–2.47]; P interaction =0.479). For the same comparison, there was no difference in outcomes among the 3 groups for the composite of death or hospitalization ( P interaction =0.787) and death and ischemic events ( P interaction =0.710). Conclusions: An antithrombotic regimen consisting of apixaban and a P2Y 12 inhibitor without aspirin provides superior safety and similar efficacy in patients with atrial fibrillation who have ACS, whether managed medically or with PCI, and those undergoing elective PCI compared with regimens that include vitamin K antagonists, aspirin, or both. Clinical Trial Registration: URL: https://www.clinicaltrials.gov . Unique identifier: NCT02415400.

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)0.000
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 score0.016
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.280
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

Citations70
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueCirculationSame topicAtrial Fibrillation Management and OutcomesFrench-language works237,207