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Record W2309960532 · doi:10.1093/europace/euw004

Multipolar ablation for atrial fibrillation: are we going in circles?

2016· letter· en· W2309960532 on OpenAlexaff
Atul Verma

Bibliographic record

VenueEP Europace · 2016
Typeletter
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsSouthlake Regional Health Center
Fundersnot available
KeywordsMedicineAtrial fibrillationAblationCardiologyInternal medicineAblation of atrial fibrillationCatheter ablation

Abstract

fetched live from OpenAlex

This editorial refers to ‘Low rate of asymptomatic cerebral embolism and improved procedural efficiency with the novel pulmonary vein ablation catheter GOLD: results of the PRECISION GOLD trial’ by Yves De Greef et al ., doi:10.1093/europace/euv385. It seems hard to believe that it has been more than 8 years since the first patient was enrolled in the pivotal tailored treatment of persistent atrial fibrillation (TTOP-AF) study which initially evaluated the performance of a multipolar, duty-cycled, phased radiofrequency (PhRF) catheter ablation technology (Ablation Frontiers, Medtronic, Inc.).1 The efficacy of the technology was quite promising showing that nearly 56% of patients experienced substantial improvement in atrial fibrillation (AF) burden at 6 months. In smaller studies, the technology has also consistently shown the ability to achieve outcomes comparable with traditional, single-point RF technology while significantly reducing procedural time.2 In fact, during the United States Food and Drug Administration (FDA) panel hearing in 2011, there was unanimity that the technology was effective in the treatment of persistent AF. The technology was not granted approval, however, because of safety concerns. In particular, the peri-procedural stroke rate in the TTOP-AF study was 2.9%. There were also two studies in 2011 showing that the incidence of asymptomatic cerebral emboli (ACE) post-ablation was significantly higher with PhRF technology compared with open-irrigated, single-point RF and cryoablation.3–5 Since that time, there has been a …

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.787
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.085
GPT teacher head0.335
Teacher spread0.250 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2016
Admission routes1
Has abstractyes

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