Evidence map›Paper›PMID 40930502›Full record

Observational studyThrombosis and haemostasis2026

The Impact of NOACS versus VKAS on Absolute and Relative Cognitive Function Decline Over Time: A Machine Learning Approach.

Sergio Ferrantelli, Mario Daidone, Giuseppe Armentaro, Gaetano Pacinella, Stefania Scaglione, Anna M Ciaccio, Edoardo Pirera, Carlo D Maida, Giuseppe Miceli, Giuliana Rizzo and 6 more

Abstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Thrombosis and haemostasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Sergio FerrantelliInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
Mario DaidoneInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.ORCID 0000-0003-1413-5945
Giuseppe ArmentaroDepartment of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario di Germaneto, Catanzaro, Italy.ORCID 0000-0001-9775-9715
Gaetano PacinellaInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
Stefania ScaglioneInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
Anna M CiaccioInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
Edoardo PireraInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
Carlo D MaidaInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
Giuseppe MiceliInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
Giuliana RizzoInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
Vittoriano Della CorteInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
Domenico Di RaimondoInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
Daniele PastoriDepartment of Clinical Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy.
Angela SciacquaDepartment of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario di Germaneto, Catanzaro, Italy.
Antonino TuttolomondoInternal Medicine and Stroke Care Ward, University of Palermo, Palermo, Italy.
MEDIREG (Mediterranean Research Group)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atrial fibrillation (AF) is the most common arrhythmia in older adults and is associated with an increased risk of cognitive impairment and dementia, even in patients without prior stroke. Nonvitamin K antagonist oral anticoagulants (NOACs) offer a better safety profile than vitamin K antagonists (VKAs), but their cognitive benefit remains uncertain. Aim: To assess the impact of NOACs versus VKAs on cognitive decline in elderly AF patients using a machine learning approach. Methods: This multicenter prospective cohort study included 983 AF outpatients enrolled between 2008 and 2022 at the Geriatrics Department, University of Catanzaro, and the ProMISE Department, University of Palermo. Stroke and bleeding risks were assessed using CHA Results: At baseline, cognitive performance was comparable between groups ( Conclusion: NOAC use is associated with a lower predicted probability of cognitive decline, suggesting potential cognitive benefits over VKAs.

Indexed as

AnticoagulantsAtrial FibrillationCognitionCognitive DysfunctionMachine LearningVitamin KAdministration, OralAgedAged, 80 and overClassification AlgorithmsFemaleHemorrhageHumansMalePredictive Learning ModelsProspective StudiesAnticoagulantsVitamin K

Identifiers

PMID40930502
PMCPMC13641262

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.