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Record W4413310009 · doi:10.1186/s12883-026-04856-y

Markers of left atrial cardiopathy and cognitive function trajectories in adults aged ≥45 years without atrial fibrillation: a population-based study

2025· preprint· en· W4413310009 on OpenAlexafffund
Zhe Li, Danielle Marion, Jessica Blair, Elsayed Z. Soliman, David J. Gladstone, Hooman Kamel, David H. Birnie, Douglas G. Manuel, Frederick W. Unverzagt, Virginia J. Howard, Jodi D. Edwards

Bibliographic record

VenueBMC Neurology · 2025
Typepreprint
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of Ottawa
FundersNational Institute of Neurological Disorders and StrokeCanadian Institutes of Health ResearchNational Institute on AgingNational Institutes of Health
KeywordsAtrial fibrillationCognitionInternal medicineCardiologyMedicinePopulationStroke (engine)Natriuretic peptideCognitive impairmentPsychiatryHeart failure

Abstract

fetched live from OpenAlex

INTRODUCTION: The study aims to investigate associations between markers of atrial cardiopathy and cognitive function trajectories in adults without prior AF. METHODS: The study included 4,486 participants from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. Markers of atrial cardiopathy included atrial premature complexes and N-Terminal pro-Brain Natriuretic Peptide (NT pro-BNP). Cognitive status was measured using the Six-Item Screener (SIS). Cognitive status trajectories were identified using latent class growth models. RESULTS: Three unique cognitive trajectories over the 8-year follow-up were identified: 86.7% showed a normal and stable trajectory of SIS score, 7.6% showed a progressively decreasing trajectory, and 5.7% showed a dramatic decreasing trajectory. Age, black participants, and antidepression drugs were significantly associated with the “dramatic decrease” trajectory. Elevated NT pro-BNP was significantly associated with the “dramatic decrease” trajectory. DISCUSSION: Markers of left atrial cardiopathy may have implications for early diagnosis and prevention of cognitive impairment.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.031
GPT teacher head0.308
Teacher spread0.277 · 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 designObservational
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
Published2025
Admission routes2
Has abstractyes

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