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Record W4391263875 · doi:10.21037/acs-2023-afm-0159

Ablation or drug therapy for initial atrial fibrillation

2024· article· en· W4391263875 on OpenAlexaff
Jason G. Andrade

Bibliographic record

VenueAnnals of Cardiothoracic Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversité de MontréalMontreal Heart InstituteUniversity of British ColumbiaBC Innovation Council
Fundersnot available
KeywordsMedicineAtrial fibrillationCatheter ablationSinus rhythmAdverse effectAblationQuality of life (healthcare)Clinical trialIntensive care medicineAblation TherapyCardiologyInternal medicineIntervention (counseling)DiseasePharmacotherapyCancerPsychiatry

Abstract

fetched live from OpenAlex

Atrial fibrillation (AF) is a chronic heart rhythm disorder, characterized by exacerbations interspersed with clinical remissions. Antiarrhythmic drugs (AADs) are traditionally considered to be the preferred initial therapy for the maintenance of sinus rhythm however, these medications have modest efficacy and significant adverse effects. Recent clinical trials have evaluated the role of catheter ablation as the initial therapeutic intervention, demonstrating that cryoballoon ablation significantly reduces atrial tachyarrhythmia recurrence and arrhythmia burden, produces clinically meaningful improvements in symptoms and quality of life, and significantly decreases healthcare resource utilization. In contrast to AADs, catheter ablation appears to be a disease modifying therapy, significantly reducing the progression to more advanced forms of AF. These findings are relevant to patients, providers, and healthcare systems, helping inform the decision regarding the initial choice of rhythm-control therapy in patients with treatment-naïve AF.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.231
GPT teacher head0.455
Teacher spread0.224 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations3
Published2024
Admission routes1
Has abstractyes

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