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Record W4395071712 · doi:10.1001/jamacardio.2024.0675

Atrial Fibrillation Ablation in Heart Failure With Reduced vs Preserved Ejection Fraction

2024· review· en· W4395071712 on OpenAlexaff
Alireza Oraii, William F. McIntyre, Ratika Parkash, Krzysztof Kowalik, Ghazal Razeghi, Alexander P. Benz, Emilie P. Belley‐Côté, David Conen, Stuart J. Connolly, Anthony Tang, Jeff S. Healey, Jorge Wong

Bibliographic record

VenueJAMA Cardiology · 2024
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsWestern UniversityQueen Elizabeth II Health Sciences CentreMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicineEjection fractionAtrial fibrillationHeart failureInternal medicineCardiologyRandomized controlled trialCatheter ablationGuidelineMEDLINEPathology

Abstract

fetched live from OpenAlex

Importance: Catheter ablation is associated with reduced heart failure (HF) hospitalization and death in select patients with atrial fibrillation (AF) and heart failure with reduced ejection fraction (HFrEF). However, the benefit in patients with HF with preserved ejection fraction (HFpEF) is uncertain. Objective: To investigate whether catheter ablation for AF is associated with reduced HF-related outcomes according to HF phenotype. Data Source: A systematic search of MEDLINE, Embase, and Cochrane Central was conducted among studies published from inception to September 2023. Study Selection: Parallel-group randomized clinical trials (RCTs) comparing catheter ablation with conventional rate or rhythm control therapies in patients with HF, New York Heart Association functional class II or greater, and a history of paroxysmal or persistent AF were included. Pairs of independent reviewers screened 7531 titles and abstracts, of which 12 RCTs and 4 substudies met selection criteria. Data Extraction and Synthesis: Data were abstracted in duplicate according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Pooled effect estimates were calculated using random-effects Mantel-Haenszel models. Interaction P values were used to test for subgroup differences. Main Outcomes and Measures: The primary outcome was HF events, defined as HF hospitalization, clinically significant worsening of HF, or unscheduled visits to a clinician for treatment intensification. Secondary outcomes included cardiovascular and all-cause mortality. Results: A total of 12 RCTs with 2465 participants (mean [SD] age, 65.3 [9.7] years; 658 females [26.7%]) were included; there were 1552 participants with HFrEF and 913 participants with HFpEF. Compared with conventional rate or rhythm control, catheter ablation was associated with reduced risk of HF events in HFrEF (risk ratio [RR], 0.59; 95% CI, 0.48-0.72), while there was no benefit in patients with HFpEF (RR, 0.93; 95% CI, 0.65-1.32) (P for interaction = .03). Catheter ablation was associated with reduced risk of cardiovascular death compared with conventional therapies in HFrEF (RR, 0.49; 95% CI, 0.34-0.70) but a differential association was not detected in HFpEF (RR, 0.91; 95% CI, 0.46-1.79) (P for interaction = .12). Similarly, no difference in the association of catheter ablation with all-cause mortality was found between HFrEF (RR vs conventional therapies, 0.63; 95% CI, 0.47-0.86) and HFpEF (RR vs conventional therapies, 0.95; 95% CI, 0.39-2.30) groups (P for interaction = .39). Conclusions and Relevance: This study found that catheter ablation for AF was associated with reduced risk of HF events in patients with HFrEF but had limited or no benefit in HFpEF. Results from ongoing trials may further elucidate the role of catheter ablation for AF in HFpEF.

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)0.018
metaresearch head score (Gemma)0.074
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.074
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.009
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.067
GPT teacher head0.365
Teacher spread0.297 · 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 designSystematic review
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

Citations58
Published2024
Admission routes1
Has abstractyes

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