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Record W2406411249

Catheter ablation therapy for atrial fibrillation.

2005· article· en· W2406411249 on OpenAlexaff
Peter G. Guerra, Allan C. Skanes

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineCatheter ablationAtrial fibrillationGynecologyCatheterNuclear medicineHumanitiesSurgeryCardiology
DOInot available

Abstract

fetched live from OpenAlex

Catheter ablation therapy for the treatment of atrial fibrillation (AF) has evolved considerably in the past decade. Although the therapy was initially limited to ablation of the atrioventricular node to ensure adequate rate control for patients with rapid AF, the possibility of catheter-based rhythm control has now been demonstrated in several studies. Atrial extrasystoles originating from the pulmonary veins are now known to be triggers for the initiation of AF. Consequently, attempts at ablation have focused on the ablation of these triggers or on electrical isolation of these veins using radiofrequency ablation. More recently, three-dimensional electroanatomical imaging techniques have allowed for the development of left atrial ablation techniques, whereby long, linear lesions are created around the pulmonary venous ostia. Both of these techniques have shown interesting success rates in the treatment of symptomatic paroxysmal AF. The present article reviews the evolution of these techniques and lists the recommendations for the use of catheter ablation for both rate and rhythm control of AF.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.012

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 head0.027
GPT teacher head0.269
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2005
Admission routes1
Has abstractyes

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