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Record W4319303586 · doi:10.1016/j.jacc.2022.11.039

Combined Minimally Invasive Surgical and Percutaneous Catheter Ablation of Atrial Fibrillation

2023· review· en· W4319303586 on OpenAlexaff
Gianluigi Bisleri, Arjun Pandey, Subodh Verma, Syed M. Ali Hassan, Bobby Yanagawa, Masud H. Khandaker, Mario Gaudino, Andrea M. Russo, Atul Verma, Deepak L. Bhatt, Andrew C.T. Ha

Bibliographic record

VenueJournal of the American College of Cardiology · 2023
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMcGill UniversityMcMaster UniversityToronto General HospitalUniversity Health NetworkUniversity of TorontoWilliam Osler Health SystemSt. Michael's Hospital
Fundersnot available
KeywordsMedicineAblationCatheter ablationAtrial fibrillationPercutaneousRandomized controlled trialCatheterSurgeryComplicationCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Hybrid ablation is a novel therapy in the invasive management of patients with atrial fibrillation (AF) which combines minimally invasive surgical and percutaneous catheter-based techniques. The evidence is mainly based on observational studies from experienced centers, with success rates of approximately 70% and risks that are 2.0-fold to 3.6-fold higher than catheter-based ablation. Hybrid ablation is offered typically to patients with persistent or longstanding persistent AF which, by design, requires 2 procedures (epicardial surgical and endocardial catheter-based ablation). One randomized trial demonstrated that hybrid ablation was more effective than catheter-based ablation, but with higher complication rates. The incidence of the most serious complications has decreased in contemporary studies of hybrid ablation. At present, hybrid ablation should be performed by experienced centers on selected patients with persistent or longstanding persistent AF. Additional randomized trials are needed to define the risks, benefits, and cost effectiveness of hybrid ablation to identify its most appropriate application in clinical practice.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0040.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.058
GPT teacher head0.346
Teacher spread0.288 · 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
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

Citations16
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American College of Cardiology→Same topicAtrial Fibrillation Management and Outcomes→French-language works237,207→