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Record W4415741270 · doi:10.70070/qhabmg18

Comparative Effectiveness of Direct Oral Anticoagulants versus Vitamin K Antagonists on the Incidence of Dementia in Patients with Non-Valvular Atrial Fibrillation: A Systematic Review and Meta-Analysis

2025· article· W4415741270 on OpenAlexaboutno aff
Melany Nurjanah, Haryadi Haryadi

Bibliographic record

VenueThe International Journal of Medical Science and Health Research · 2025
Typearticle
Language
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsObservational studyDementiaHazard ratioAtrial fibrillationIncidence (geometry)Randomized controlled trialCohort studyConfidence intervalCochrane LibraryMeta-analysis

Abstract

fetched live from OpenAlex

Introduction: Atrial fibrillation (AF) is an established independent risk factor for cognitive decline and dementia. While oral anticoagulation is known to mitigate this risk compared to no treatment, the comparative effectiveness of direct oral anticoagulants (DOACs) versus vitamin K antagonists (VKAs) on cognitive outcomes remains a subject of ongoing investigation. This systematic review and meta-analysis aims to synthesize the current evidence comparing the effects of DOACs and VKAs on the incidence of dementia in patients with non-valvular atrial fibrillation (NVAF). Methods: A systematic literature search was conducted across PubMed, Google Scholar, Semantic Scholar, Springer, Wiley Online Library databases for randomized controlled trials and observational studies comparing DOACs with VKAs in adults with NVAF and reporting on incident dementia or other cognitive and clinical outcomes. The study was conducted in accordance with PRISMA guidelines. The primary outcome was incident all-cause dementia. Secondary outcomes included dementia subtypes (vascular, Alzheimer's), ischemic and hemorrhagic stroke, mortality, and major bleeding events. Adjusted hazard ratios (HRs) were pooled using a random-effects model. The Newcastle-Ottawa Scale was used to assess the risk of bias in observational studies. Results: A total of 16 observational cohort studies, encompassing over 1.5 million patients, were included in the final analysis. The pooled data demonstrated that treatment with DOACs was associated with a significantly lower risk of incident all-cause dementia compared to treatment with VKAs (Hazard Ratio 0.88, 95% Confidence Interval [CI] 0.80–0.98). The benefit was most pronounced for vascular dementia, where DOACs showed a significant risk reduction, whereas no significant difference was observed for Alzheimer's disease. Subgroup analyses revealed that the protective effect of DOACs was more evident in patients younger than 75 years (HR 0.86, 95% CI 0.81–0.92) and in Asian populations (HR 0.81, 95% CI 0.68–0.86). Consistent with their known safety profile, DOACs were associated with a significantly lower risk of intracranial hemorrhage (HR approximately 0.47) compared to VKAs Discussion: The findings suggest that the neuroprotective benefit of DOACs over VKAs is likely mediated through a more stable anticoagulation profile and a superior cerebral safety profile, particularly the marked reduction in both clinical and subclinical intracranial bleeding. The attenuated benefit in the elderly may reflect a higher burden of competing risks and non-AF-related dementia pathologies. The pronounced effect in Asian populations may be linked to pharmacogenomic factors affecting VKA metabolism. Conclusion: In patients with NVAF, the use of DOACs is associated with a lower incidence of dementia compared to VKAs. This finding supports the preferential use of DOACs, not only for their established stroke prevention efficacy and safety but also for their potential long-term cognitive benefits.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.036
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0210.040
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.312
GPT teacher head0.542
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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