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Record W4231463534 · doi:10.1093/europace/euw402

Catheter ablation for atrial flutter: a survey by the European Heart Rhythm Association and Canadian Heart Rhythm Society

2016· article· en· W4231463534 on OpenAlexaffabout
Benedict M. Glover, Jian Chen, Kathryn L. Hong, Serge Bovéda, Adrián Baranchuk, Kristina H. Haugaa, Paul Dorian, Tatjana Potpara, Eugene Crystal, Brent Mitchell, Roland Richard Tilz, Peter Leong‐Sit, Nikolaos Dagres

Bibliographic record

VenueEP Europace · 2016
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrhythmias and Treatments
Canadian institutionsLibin Cardiovascular Institute of AlbertaSunnybrook HospitalUniversity of CalgaryWestern UniversitySt. Michael's HospitalAlberta Health ServicesQueen's University
Fundersnot available
KeywordsMedicineAtrial flutterHeart RhythmAblationCatheter ablationRhythmCardiologyFlutterInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this EP wire survey was to examine current practice in the management of both cavotricuspid isthmus (CTI)-dependent and non-CTI-dependent atrial flutter (AFL) ablation amongst electrophysiologists in European and Canadian centres and to understand how current opinions vary from guidelines. The results of the survey were collected from a detailed questionnaire that was created by the European Heart Rhythm Association Research Network and the Canadian Heart Rhythm Society. Responses were received from 89 centres in 12 countries. The survey highlighted variability within certain aspects of the management of AFL ablation. The variability in opinion regarding other procedural details suggests a need for further research in this area and consideration of the development of guidelines specific to AFL. Overall, there is reasonable consensus regarding oral anticoagulation and the desired endpoints of ablation for patients with CTI-dependent AFL and for non-CTI-dependent AFL.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.018
GPT teacher head0.260
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations16
Published2016
Admission routes2
Has abstractyes

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