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Record W2051709284 · doi:10.1097/fjc.0b013e3181668057

Atrial Structural Remodeling as an Antiarrhythmic Target

2008· review· en· W2051709284 on OpenAlexaff
Brett Burstein, Stanley Nattel

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2008
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsProarrhythmiaMedicineAtrial fibrillationInflammationFibrosisCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Atrial fibrillation (AF) is the most common clinically encountered arrhythmia. Conventional pharmacological antiarrhythmic approaches suffer from poor efficacy and risk of serious complications, particularly proarrhythmia. More recently, the notion of "upstream" therapy, targeting the processes involved in the development of the substrate that supports AF, has increasingly become the focus of attention. Many clinical conditions associated with AF are characterized by prominent atrial fibrosis, and pharmacological strategies targeted at the fibrotic substrate itself may aid in the management of AF. Experimental and clinical data suggest that there exists an interplay among angiotensin II-related signaling, inflammation, and oxidative stress in the pathogenesis of AF-promoting structural remodeling, and these processes have become of particular therapeutic interest. This review will highlight pharmacologic approaches that have shown promise for attenuating structural remodeling to achieve antiarrhythmic efficacy in 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.011
Bibliometrics0.0010.000
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 head0.093
GPT teacher head0.418
Teacher spread0.325 · 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 designOther design
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

Citations60
Published2008
Admission routes1
Has abstractyes

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