Evidence map›Paper›PMID 41792383›Full record

ArticleAnnals of biomedical engineering2026

Beyond CHA

Henrik Aasen Kjeldsberg, Josquin Harrison, Maxime Sermesant, Renate B Schnabel, Joakim Sundnes, Kristian Valen-Sendstad

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Henrik Aasen KjeldsbergDepartment of Computational Physiology, Simula Research Laboratory, Oslo, Norway.
Josquin HarrisonUniversité Côte d'Azur, Inria, Epione Team, Nice, France.
Maxime SermesantUniversité Côte d'Azur, Inria, Epione Team, Nice, France.
Renate B SchnabelDepartment of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Joakim SundnesDepartment of Computational Physiology, Simula Research Laboratory, Oslo, Norway.
Kristian Valen-SendstadDepartment of Computational Physiology, Simula Research Laboratory, Oslo, Norway. kvs@simula.no.ORCID http://orcid.org/0000-0002-2907-0171

Funding

Horizon 2020 Framework Programme 101016496Norges Forskningsråd 311117Wellcome Trust 311117
6 · The paper itself

Abstract

purposeStroke is a leading cause of death worldwide, with atrial fibrillation (AF) contributing to up to a third of ischemic strokes. Current clinical risk scores, like the CHA

methodsWe analyzed 40 patient-specific LA models reconstructed from computed tomography, incorporating a physiologically realistic atrial wall motion derived from an AF motion model. High-fidelity CFD simulations were performed under pathological conditions to compute hemodynamic and morphometric parameters, which were then statistically correlated with thrombus presence or stroke history.

resultsUnivariate logistic analysis showed that LA volume, left atrial appendage (LAA) orifice size, and LAA depth correlated strongly with thrombus presence or stroke history (Pseudo

conclusionThese results demonstrate that CFD-based and morphometric parameters can complement the CHA

Indexed as

Atrial FibrillationHemodynamicsModels, CardiovascularStrokeThrombosisAgedFemaleHeart AtriaHumansMaleMiddle AgedAtrial fibrillationBlood flow simulationComputational fluid dynamicsHemodynamicsLeft atrial morphologyThrombus formation

Identifiers

PMID41792383

What Socratic 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 Socratic graph.