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Record W1519681719 · doi:10.1046/j.1540.8167.90302.x

Mechanisms of Termination of Atrial Fibrillation by Class I Antiarrhythmic Drugs:

2003· review· en· W1519681719 on OpenAlexaff
Stanley Nattel, James Kneller, Renqiang Zou, L.J. Leon

Bibliographic record

VenueJournal of Cardiovascular Electrophysiology · 2003
Typereview
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversity of CalgaryUniversité de MontréalMcGill University
Fundersnot available
KeywordsMedicineAtrial fibrillationReentryCardiologySinus rhythmAnti-Arrhythmia AgentsInternal medicine

Abstract

fetched live from OpenAlex

Sodium channel blocking drugs (Class I antiarrhythmic agents) have been used for the termination of atrial fibrillation (AF) and for sinus rhythm maintenance for almost 100 years. Despite this long history, the mechanisms that underlie their efficacy in AF remain poorly understood. Classic notions about the determinants of cardiac reentry, as embodied in leading circle theory, and of AF, as reflected in the multiple wavelet hypothesis, suggest that cardiac conduction slowing should promote, rather than prevent, AF. This article reviews the evidence (both clinical and experimental) for the efficacy and mechanisms of action of Class I antiarrhythmic agents in AF. Application of mathematical models of AF to the evaluation of Class I mechanisms is discussed, and recent insights into the latter are presented. A better understanding of the ways in which Na+ channel blockers affect AF will be useful, not only for new antiarrhythmic drug development but also for gaining insight into the mechanisms of the arrhythmia.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.931
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.011
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.274
Teacher spread0.264 · 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.

Study designOther design
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

Citations32
Published2003
Admission routes1
Has abstractyes

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