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Record W2794991905 · doi:10.1016/j.joa.2017.07.001

WITHDRAWN: 2017 HRS/EHRA/ECAS/APHRS/SOLAECE expert consensus statement on catheter and surgical ablation of atrial fibrillation

2017· article· en· W2794991905 on OpenAlexaff
Hugh Calkins, Gerhard Hindricks, Riccardo Cappato, Young‐Hoon Kim, Eduardo Saad, Luis Aguinaga, Joseph G. Akar, Vinay Badhwar, Josép Brugada, A. John Camm, Peng‐Sheng Chen, Shih-Ann Chen, Mina K. Chung, Jens Cosedis Nielsen, Anne B. Curtis, D. Wyn Davies, John Day, André d’Ávila, N DEGROOT, Luigi Di Biase, Mattias Duytschaever, Kenneth A. Ellenbogen, Patrick T. Ellinor, Sabine Ernst, Guilherme Fenelon, Edward P. Gerstenfeld, David E. Haines, Michel Haïssaguerre, Robert Helm, Elaine M. Hylek, Warren M. Jackman, José Jalife, Jonathan M. Kalman, Josef Kautzner, Hans Kottkamp, Karl Heinz Kuck, Koichiro Kumagai, Richard Lee, Thorsten Lewalter, Bruce D. Lindsay, Laurent Macle, Moussa Mansour, Francis E. Marchlinski, Gregory F. Michaud, Hiroshi Nakagawa, Andrea Natale, Stanley Nattel, Ken Okumura, Douglas L. Packer, Evgeny Pokushalov, Matthew R. Reynolds, Prashanthan Sanders, Maurício Scanavacca, Richard J. Schilling, Claudio Tondo, Hsuan-Ming Tsao, Atul Verma, David J. Wilber, Teiichi Yamane

Bibliographic record

VenueJournal of Arrhythmia · 2017
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsSouthlake Regional Health CenterUniversity of TorontoMcGill UniversityUniversité de MontréalMontreal Heart Institute
FundersU.S. Food and Drug Administration
KeywordsMedicineAtrial fibrillationCardiologyCatheter ablationInternal medicineStatement (logic)CatheterSurgery

Abstract

fetched live from OpenAlex

During the past three decades, catheter and surgical ablation of atrial fibrillation (AF) have evolved from investigational procedures to their current role as effective treatment options for patients with AF.Surgical ablation of AF, using either standard, minimally invasive, or hybrid techniques, is available in most major hospitals throughout the world.Catheter ablation of AF is even more widely available, and is now the most commonly performed catheter ablation procedure.In 2007, an initial Consensus Statement on Catheter and Surgical AF Ablation was developed as a joint effort of the Heart Rhythm Society (HRS), the European Heart Rhythm Association (EHRA), and the European Cardiac Arrhythmia Society (ECAS) [1].The 2007 document was also developed in collaboration with the Society of Thoracic Surgeons (STS) and the American College of Cardiology (ACC).This Consensus Statement on Catheter and Surgical AF Ablation was rewritten in 2012 to reflect the many advances in AF ablation that had occurred in the interim [2].The rate of advancement in the tools, techniques, and outcomes of AF ablation continue to increase as enormous research efforts are focused on the mechanisms, outcomes, and treatment of AF.For this reason, the HRS initiated an effort to rewrite and update this Consensus Statement.Reflecting both the worldwide importance of AF, as well as the worldwide performance of AF ablation, this document is the result of a joint partnership between the HRS, EHRA, ECAS, the Asia Pacific Heart Rhythm Society (APHRS), and the Latin American Society of Cardiac Stimulation and Electrophysiology (Sociedad Latinoamericana de Estimulación Cardíaca y Electrofisiología [SOLAECE]).The purpose of this 2017 Consensus Statement is to provide a state-of-the-art review of the field of catheter and surgical ablation of AF and to report the findings of a writing group, convened by these five international societies.The writing group is charged with defining the indications, techniques, and outcomes of AF ablation procedures.Included within this document are recommendations pertinent to the design of clinical trials in the field of AF ablation and the reporting of outcomes, including definitions relevant to this topic.

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)0.015
metaresearch head score (Gemma)0.059
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 score0.059
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.059
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0030.002
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0590.057

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 head0.067
GPT teacher head0.369
Teacher spread0.302 · 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

Citations11
Published2017
Admission routes1
Has abstractyes

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