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Record W4283078716 · doi:10.14740/cr1399

Cardiovascular Outcomes With an Early Rhythm Control Strategy in Atrial Fibrillation: A Systematic Review

2022· review· en· W4283078716 on OpenAlexvenueno aff
Jaison John, Rafael J. Cabello, Jimmy Hong, Mohammed Faluk

Bibliographic record

VenueCardiology Research · 2022
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtrial fibrillationSinus rhythmCardiologyCatheter ablationSystematic reviewInternal medicineMEDLINERandomized controlled trialInclusion and exclusion criteriaMeta-analysisRhythmIntensive care medicineHeart RhythmAlternative medicinePathology

Abstract

fetched live from OpenAlex

In practice, atrial fibrillation (AF) is typically managed by controlling ventricular rate given similar long-term outcomes and a more tolerable drug profile when compared to rhythm control. However, despite treatment via rate control, patients remain at increased risk for cardiovascular complications. This systematic review provides a summary of literature evaluating the effectiveness of early rhythm control (ERC, initiated within 2 years of diagnosis) in AF in reducing cardiovascular complications. A systematic review utilizing the MEDLINE, EMBASE, and the Cochrane Database of Systematic Reviews was performed to identify literature evaluating effectiveness of rhythm control strategies and cardiovascular complication reduction rates in ERC. A total of three literature articles meeting the inclusion and exclusion criteria were included for evaluating the benefit of ERC. One of these examined was a trial that directly compared antiarrhythmic drug (AAD) versus catheter ablation (CA) therapy in maintenance of sinus rhythm (SR). This systematic review shows that ERC is associated with a reduction of cardiovascular events in AF patients compared to other treatment strategies.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.851
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0120.004
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.251
GPT teacher head0.457
Teacher spread0.206 · 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 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

Citations1
Published2022
Admission routes1
Has abstractyes

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