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Record W2108394270 · doi:10.2217/fca.09.55

Pulmonary Vein Isolation for the Treatment of Atrial Fibrillation: Past, Present and Future

2009· review· en· W2108394270 on OpenAlexaff
Jean‐Benoît le Polain de Waroux, Mario Talajic, Paul Khairy, Peter G. Guerra, Denis Roy, Bernard Thibault, Marc Dubuc, Laurent Macle

Bibliographic record

VenueFuture Cardiology · 2009
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineAtrial fibrillationPulmonary veinCardiologyInternal medicineIsolation (microbiology)Cardiac arrhythmiaStroke (engine)Bioinformatics

Abstract

fetched live from OpenAlex

Atrial fibrillation is the most common sustained cardiac arrhythmia and is associated with impaired quality of life and an increased risk of stroke and mortality. Antiarrhythmic drugs, currently the first-line therapy for patients without permanent atrial fibrillation, fail to prevent recurrences in over 50% and are associated with significant adverse effects. In the majority of cases, atrial fibrillation arises from the repetitive firing of myocytes in muscle sleeves that extend from the left atrium into the pulmonary veins. Pulmonary vein isolation has emerged as an effective treatment in selected patients. In this paper, the past and present roles of pulmonary vein isolation are described and the future developments of this technique are explored.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
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 head0.066
GPT teacher head0.361
Teacher spread0.295 · 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

Citations5
Published2009
Admission routes1
Has abstractyes

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