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Record W4416706556 · doi:10.1093/cvr/cvaf252

Type 1 diabetes mellitus and atrial fibrillation: clinical relationships, mechanistic insights, and therapeutic implications

2025· article· en· W4416706556 on OpenAlexaff
Florian Bruns, Anke C. Fender, Theresa Poppenborg, Samuel C. Dudley, Dobromir Dobrev

Bibliographic record

VenueCardiovascular Research · 2025
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversité de MontréalMontreal Heart Institute
FundersNational Institutes of HealthDeutsche ForschungsgemeinschaftEuropean Commission
KeywordsType 1 diabetesAtrial fibrillationDiabetes mellitusType 2 Diabetes MellitusRisk factorObesity

Abstract

fetched live from OpenAlex

Type 2 diabetes mellitus (T2D) is an established risk factor for multiple cardiovascular diseases including atrial fibrillation (AF). The causal relationship between type 1 diabetes mellitus (T1D) and AF is poorly defined. T1D and AF share many underlying risk factors, but how T1D may promote AF independently of obesity and other features typical of T2D is not known. Here, we critically review the quality of the available clinical evidence specifically linking AF with the distinct characteristics of T1D and evaluate the mechanistic insights from preclinical models. We provide a conceptual overview of candidate contributing players and highlight important gaps in knowledge, unmet clinical needs, and potential therapeutic perspectives.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.232
GPT teacher head0.440
Teacher spread0.207 · 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 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 routes1
Has abstractyes

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