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Record W4402130678 · doi:10.1093/eurheartj/ehae596

Anticoagulation in device-detected atrial fibrillation with or without vascular disease: a combined analysis of the NOAH-AFNET 6 and ARTESiA trials

2024· review· en· W4402130678 on OpenAlexafffund
Renate B. Schnabel, Juan Benezet‐Mazuecos, Nina Becher, Alexander Fierenz, Shun Fu Lee, Andreas Goette, Dan Atar, Emanuele Bertaglia, Alexander P. Benz, Gregory Chlouverakis, David Birnie, Wolfgang Dichtl, Carina Blomström‐Lundqvist, A. John Camm, Julia W. Erath, Εmmanuel Simantirakis, Valentina Kutyifa, Gregory Y H Lip, Philippe Mabo, Éloi Marijon, Léna Rivard, Ulrich Schotten, Marco Alings, Susanne Sehner, Tobias Toennis, Cecilia Linde, Panos Vardas, Christopher B. Granger, Antonia Zapf, Renato D. Lópes, Jeff S. Healey, Paulus Kirchhof

Bibliographic record

VenueEuropean Heart Journal · 2024
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMontreal Heart InstituteUniversity of OttawaImpactMcMaster UniversityUniversité de MontréalPopulation Health Research Institute
FundersMedical Research CouncilFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchSt. Jude MedicalBayer CanadaNational Institutes of HealthDaiichi Sankyo EuropeHORIZON EUROPE Framework ProgrammeServierVifor PharmaDeutsche HerzstiftungNovo NordiskFondation LeducqBritish Heart FoundationDaiichi-SankyoBundesministerium für Bildung und ForschungNational Institute for Health and Care ResearchMicroPortImpulse DynamicsZOLL Medical CorporationAmgenEuropean Society of CardiologyStockholms Läns LandstingHamilton Health SciencesBoston Scientific CorporationBiogenPfizerDaiichi Sankyo CompanyHeart and Stroke Foundation of CanadaEuropean CommissionGlaxoSmithKlineDeutsches Zentrum für Herz-KreislaufforschungUniversität HamburgSanofiKompetenznetz VorhofflimmernDeutsche ForschungsgemeinschaftPopulation Health Research InstituteBayer VitalBristol-Myers SquibbAstraZeneca
KeywordsMedicineAtrial fibrillationCardiologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: The optimal antithrombotic therapy in patients with device-detected atrial fibrillation (DDAF) is unknown. Concomitant vascular disease can modify the benefits and risks of anticoagulation. METHODS: These pre-specified analyses of the NOAH-AFNET 6 (n = 2534 patients) and ARTESiA (n = 4012 patients) trials compared anticoagulation with no anticoagulation in patients with DDAF with or without vascular disease, defined as prior stroke/transient ischaemic attack, coronary or peripheral artery disease. Efficacy outcomes were the primary outcomes of both trials, a composite of stroke, systemic arterial embolism (SE), myocardial infarction, pulmonary embolism or cardiovascular death, and stroke or SE. Safety outcomes were major bleeding or major bleeding and death. RESULTS: In patients with vascular disease (NOAH-AFNET 6, 56%; ARTESiA, 46%), stroke, myocardial infarction, systemic or pulmonary embolism, or cardiovascular death occurred at 3.9%/patient-year with and 5.0%/patient-year without anticoagulation (NOAH-AFNET 6), and 3.2%/patient-year with and 4.4%/patient-year without anticoagulation (ARTESiA). Without vascular disease, outcomes were equal with and without anticoagulation (NOAH-AFNET 6, 2.7%/patient-year; ARTESiA, 2.3%/patient-year in both randomized groups). Meta-analysis found consistent results across both trials (I2heterogeneity = 6%) with a trend for interaction with randomized therapy (pinteraction = .08). Stroke/SE behaved similarly. Anticoagulation equally increased major bleeding in vascular disease patients [edoxaban, 2.1%/patient-year; no anticoagulation, 1.3%/patient-year; apixaban, 1.7%/patient-years; no anticoagulation, 1.1%/patient-year; incidence rate ratio 1.55 (1.10-2.20)] and without vascular disease [edoxaban, 2.2%/patient-year; no anticoagulation, 0.6%/patient-year; apixaban, 1.4%/patient-year; no anticoagulation, 1.1%/patient-year; incidence rate ratio 1.93 (0.72-5.20)]. CONCLUSIONS: Patients with DDAF and vascular disease are at higher risk of stroke and cardiovascular events and may derive a greater benefit from anticoagulation than patients with DDAF without vascular disease.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.562
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
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 head0.186
GPT teacher head0.419
Teacher spread0.233 · 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
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

Citations36
Published2024
Admission routes2
Has abstractyes

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