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Record W2141970403 · doi:10.1093/europace/eut043

An update and current expert opinions on percutaneous left atrial appendage occlusion for stroke prevention in atrial fibrillation

2013· article· en· W2141970403 on OpenAlexaff
T. Lewalter, R. Ibrahim, Bert Albers, A. John Camm

Bibliographic record

VenueEP Europace · 2013
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineAtrial fibrillationLeft atrial appendage occlusionStroke (engine)PercutaneousOcclusionCardiologyInternal medicineRandomized controlled trialSurgeryWarfarin

Abstract

fetched live from OpenAlex

Oral anticoagulation (OAC) remains the mainstream therapy for ischaemic stroke prevention in patients with atrial fibrillation (AF). However, for patients contraindicated to OAC and those who experienced a stroke while on therapeutic OAC, no reasonable pharmacotherapy is available. Although surgical left atrial appendage (LAA) excision offers a non-pharmacological alternative, effective stroke prevention by this treatment is not demonstrated by randomized clinical studies. Percutaneous occlusion of the LAA may be an alternative therapy for selected AF patients. Recently reported results confirm the technical feasibility of this technique and its effectiveness in preventing ischaemic stroke. With increasing operator experience, successful and event-free device implantation is achieved in typically 97% of the cases. Moreover, in non-randomized cohorts implanted with LAA occlusion devices, stroke rates are markedly reduced compared with rates predicted by risk stratification schemes such as CHADS2 and CHA2DS2-VASc. This paper summarizes recently published results from clinical studies on percutaneous LAA occlusion and current expert opinions with respect to patients who may be suitable for this therapy. In addition, several aspects regarding the safety of device implantation for LAA occlusion and follow-up of patients are discussed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.618
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.045
GPT teacher head0.362
Teacher spread0.317 · 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

Citations45
Published2013
Admission routes1
Has abstractyes

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