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Record W3129788621 · doi:10.14740/cr1192

Association of CHA<sub>2</sub>DS<sub>2</sub>-VASc Score With Remodeling of Left Atrial Appendage Assessed by Cardiac Computed Tomography

2021· article· en· W3129788621 on OpenAlexvenueno aff
Alberto Cecconi, Antonela Sosa Ridolfi, María José Olivera, Alberto Vera, Susana Hernández Muñiz, Paloma Caballero, Luis Jesús Jiménez‐Borreguero, Fernándo Alfonso

Bibliographic record

VenueCardiology Research · 2021
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtrial fibrillationCardiologyInternal medicineCHA2DS2–VASc scoreStroke (engine)Ejection fractionHeart failureAtrial AppendageDiastoleIschemic strokeBlood pressureIschemiaSinus rhythm

Abstract

fetched live from OpenAlex

Background: CHA 2 DS 2 -VASc score (congestive heart failure; hypertension; ages ≥ 74 years (2 points); diabetes; stroke, transient ischemic attack, or systemic embolism (2 points); vascular disease; ages 65 - 74 years; sex (female)) is a widely used clinical scale to estimate the risk of stroke in patients with non-valvular atrial fibrillation (AF). However, the relationship between the increase in CHA 2 DS 2 -VASc score and atrial remodeling remains unsettled. Methods: Twenty-five consecutive patients undergoing cardiac computed tomography (CT) were recruited. The systolic and diastolic volumes of left atrium and left atrial appendage (LAA) were measured. Risk of stroke was estimated using the CHA 2 DS 2 -VASc score. The relationship of the CHA 2 DS 2 -VASc score with morphological and functional variables was analyzed by Pearson’s correlation. Results: A positive correlation was documented between the CHA 2 DS 2 -VASc score and systolic (r = 0.419, P = 0.037) and diastolic (r = 0.415, P = 0.039) LAA volumes. Atrial volumes and left atrial ejection fraction showed no significant correlations with CHA 2 DS 2 -VASc. Conclusions: This study shows, for the first time, a positive correlation between CHA 2 DS 2 -VASc score and LAA remodeling. Cardiol Res. 2021;12(2):126-128 doi: https://doi.org/10.14740/cr1192

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)0.003
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
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 head0.066
GPT teacher head0.346
Teacher spread0.279 · 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 designBench or experimental
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

Citations0
Published2021
Admission routes1
Has abstractyes

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