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Record W3014169293 · doi:10.1111/jce.14459

Cryoballoon ablation for pulmonary vein isolation

2020· review· en· W3014169293 on OpenAlexaffabout
Jason G. Andrade

Bibliographic record

VenueJournal of Cardiovascular Electrophysiology · 2020
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversité de MontréalMontreal Heart InstituteBC Innovation CouncilUniversity of British Columbia
Fundersnot available
KeywordsMedicinePulmonary veinAblationAtrial fibrillationCatheter ablationCatheterPercutaneousCryoablationIsolation (microbiology)CardiologyRadiologyInternal medicineSurgery

Abstract

fetched live from OpenAlex

Over the past 20 years, multiple studies have demonstrated the superiority of percutaneous catheter-based pulmonary vein isolation (PVI) in the management of atrial fibrillation (AF). Unfortunately, the results of catheter ablation can be limited by arrhythmia recurrence, which is often a result of a failure to achieve durable lesions around the pulmonary vein ostia. In response, significant efforts have been directed toward developing technologies to achieve safer and more durable PVI, including the development of dedicated catheters capable of achieving PVI with a single ablation lesion (eg, the Arctic Front Cryoballoon; Medtronic CryoCath, Pointe-Claire, Canada). The purpose of this review is to discuss the contemporary role of cryoballoon ablation in the invasive management of AF, with a focus on the characteristics that differentiate cryoballoon from radiofrequency ablation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.983
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.007
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 head0.066
GPT teacher head0.348
Teacher spread0.282 · 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 designOther design
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

Citations29
Published2020
Admission routes2
Has abstractyes

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