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Record W4403170756 · doi:10.1002/joa3.13082

2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation

2024· article· en· W4403170756 on OpenAlexaff
Stylianos Tzeis, Edward P. Gerstenfeld, Jonathan M. Kalman, Eduardo Saad, Alireza Sepehri Shamloo, Jason G. Andrade, Chirag R. Barbhaiya, Tina Baykaner, Serge Bovéda, Hugh Calkins, Ngai‐Yin Chan, Minglong Chen, Shih‐Ann Chen, Nikolaos Dagres, Ralph J. Damiano, Tom De Potter, Isabel Deisenhofer, Nicolas Derval, Luigi Di Biase, Mattias Duytschaever, Katia Dyrda, Gerhard Hindricks, Mélèze Hocini, Young‐Hoon Kim, Mark La Meir, José Luís Merino, Gregory F. Michaud, Andrea Natale, Isabelle Nault, Santiago Nava, Takashi Nitta, Mark O’Neill, Hui‐Nam Pak, Jonathan P. Piccini, Helmut Pürerfellner, Tobias Reichlin, Luis Carlos Sáenz, Prashanthan Sanders, Richard J. Schilling, Boris Schmidt, Gregory E. Supple, Kevin L. Thomas, Claudio Tondo, Atul Verma, Elaine Y. Wan

Bibliographic record

VenueJournal of Arrhythmia · 2024
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMcGill University Health CentreUniversité de MontréalMontreal Heart InstituteInstitut universitaire de cardiologie et de pneumologie de QuébecVancouver General Hospital
FundersNational Heart, Lung, and Blood Institute
KeywordsHeart RhythmMedicineRhythmAtrial fibrillationCardiologyInternal medicineCatheter ablation

Abstract

fetched live from OpenAlex

In the last three decades, ablation of atrial fibrillation (AF) has become an evidence-based safe and efficacious treatment for managing the most common cardiac arrhythmia. In 2007, the first joint expert consensus document was issued, guiding healthcare professionals involved in catheter or surgical AF ablation. Mounting research evidence and technological advances have resulted in a rapidly changing landscape in the field of catheter and surgical AF ablation, thus stressing the need for regularly updated versions of this partnership which were issued in 2012 and 2017. Seven years after the last consensus, an updated document was considered necessary to define a contemporary framework for selection and management of patients considered for or undergoing catheter or surgical AF ablation. This consensus is a joint effort from collaborating cardiac electrophysiology societies, namely the European Heart Rhythm Association, the Heart Rhythm Society, the Asia Pacific Heart Rhythm Society, and the Latin American Heart Rhythm Society.

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)0.030
metaresearch head score (Gemma)0.054
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.054
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0040.002
Science and technology studies0.0010.002
Scholarly communication0.0040.002
Open science0.0030.003
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0170.012

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 head0.035
GPT teacher head0.322
Teacher spread0.287 · 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
GenreOther

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

Citations60
Published2024
Admission routes1
Has abstractyes

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