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Long-Term Results Following Concomitant Radiofrequency Modified Maze Ablation for Atrial Fibrillation

2010· article· en· W2026887545 on OpenAlexaff
Simon Maltais, Jessica Forcillo, Denis Bouchard, Michel Carrier, Raymond Cartier, Philippe Demers, Louis P. Perrault, Nancy Poirier, Martin Ladouceur, Pierre Pagé, Michel Pellerin

Bibliographic record

VenueJournal of Cardiac Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMcGill University Health CentreUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineAtrial fibrillationSinus rhythmConcomitantCardiologyAblationInternal medicineCatheter ablationRadiofrequency ablationHeart diseaseHeart failureSurgery

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM OF STUDY: This study evaluated the long-term outcome of linear, endocardial, radiofrequency (RF) atrial ablation for the treatment of atrial fibrillation (AF) concomitantly to open-heart procedures for acquired cardiac organic disease. METHODS: A saline-irrigated "pen-like" RF ablation catheter (Cardioblate(®), Medtronic, Minneapolis, MN, USA) was used to perform endocardial lines of conduction block in 293 patients with AF who underwent open-heart procedures between September 2000 and February 2008. RESULTS: Patients (age of 65 ± 11 years) underwent left atrial ablation for permanent (44%), paroxysmal (51%), or undetermined (4.4%) AF. Maintenance in sinus rhythm (SR) at discharge and at the end of follow-up (average 3.3 ± 1.2 years) was observed in 52% and 71% of patients, respectively. Preoperative type or duration of AF did not influence the results (p = NS). Multivariate analysis with a logistic regression model showed left atrial diameter and increasing age were independent predictors of recurrent AF. In this study, return to SR did not influence survival. CONCLUSIONS: This study confirmed that concomitant intraoperative RF ablation is an effective technique to restore long-term SR after cardiac surgery in patients with preoperative AF but does not influence long-term survival.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.332
Teacher spread0.276 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations14
Published2010
Admission routes1
Has abstractyes

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