Evidence map›Paper›PMID 35911547›Full record

ArticleFrontiers in cardiovascular medicine2022

Multimodal Approach for the Prediction of Atrial Fibrillation Detected After Stroke: SAFAS Study.

Lucie Garnier, Gauthier Duloquin, Alexandre Meloux, Karim Benali, Audrey Sagnard, Mathilde Graber, Geoffrey Dogon, Romain Didier, Thibaut Pommier, Catherine Vergely and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03570060 (Stepwise Screening for Silent Atrial Fibrillation After Stroke), which is not on this map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 5% of its field
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.

NCT03570060 completednot on this map

Stepwise Screening for Silent Atrial Fibrillation After Stroke

TypeobservationalSponsorCentre Hospitalier Universitaire DijonRan2018 to 2023Enrolled264ConditionsIschemic Cerebrovascular AccidentArmsBlood sample, Long term ECG monitor, Monitoring ECG
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Lucie GarnierDepartment of Neurology, University Hospital, Dijon, France.
Gauthier DuloquinDepartment of Neurology, University Hospital, Dijon, France.
Alexandre MelouxPathophysiology and Epidemiology of Cerebro-Cardiovascular Diseases (EA 7460), Faculty of Health Sciences, Université de Bourgogne, Université de Bourgogne Franche-Comté, Dijon, France.
Karim BenaliDepartment of Cardiology, University Hospital, Dijon, France.
Audrey SagnardDepartment of Cardiology, University Hospital, Dijon, France.
Mathilde GraberDepartment of Neurology, University Hospital, Dijon, France.
Geoffrey DogonPathophysiology and Epidemiology of Cerebro-Cardiovascular Diseases (EA 7460), Faculty of Health Sciences, Université de Bourgogne, Université de Bourgogne Franche-Comté, Dijon, France.
Romain DidierPathophysiology and Epidemiology of Cerebro-Cardiovascular Diseases (EA 7460), Faculty of Health Sciences, Université de Bourgogne, Université de Bourgogne Franche-Comté, Dijon, France.
Thibaut PommierPathophysiology and Epidemiology of Cerebro-Cardiovascular Diseases (EA 7460), Faculty of Health Sciences, Université de Bourgogne, Université de Bourgogne Franche-Comté, Dijon, France.
Catherine VergelyPathophysiology and Epidemiology of Cerebro-Cardiovascular Diseases (EA 7460), Faculty of Health Sciences, Université de Bourgogne, Université de Bourgogne Franche-Comté, Dijon, France.
Yannick BéjotDepartment of Neurology, University Hospital, Dijon, France.
Charles GuenanciaPathophysiology and Epidemiology of Cerebro-Cardiovascular Diseases (EA 7460), Faculty of Health Sciences, Université de Bourgogne, Université de Bourgogne Franche-Comté, Dijon, France.
Université de Bourgogne · FRMaison des Sciences de l’Homme de Dijon · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intensive screening for atrial fibrillation (AF) has led to a better recognition of this cause in stroke patients. However, it is currently debated whether AF Detected After Stroke (AFDAS) has the same pathophysiology and embolic risk as prior-to-stroke AF. We thus aimed to systematically approach AFDAS using a multimodal approach combining clinical, imaging, biological and electrocardiographic markers. Methods: Patients without previously known AF admitted to the Dijon University Hospital (France) stroke unit for acute ischemic stroke were prospectively enrolled. The primary endpoint was the presence of AFDAS at 6 months, diagnosed through admission ECG, continuous electrocardiographic monitoring, long-term external Holter during the hospital stay, or implantable cardiac monitor if clinically indicated after discharge. Results: Of the 240 included patients, 77 (32%) developed AFDAS. Compared with sinus rhythm patients, those developing AFDAS were older, more often women and less often active smokers. AFDAS patients had higher blood levels of NT-proBNP, osteoprotegerin, galectin-3, GDF-15 and ST2, as well as increased left atrial indexed volume and lower left ventricular ejection fraction. After multivariable analysis, galectin-3 ≧ 9 ng/ml [OR 3.10; 95% CI (1.03-9.254), Conclusion: A multimodal approach combining imaging, electrocardiography and original biological markers resulted in good predictive models for AFDAS. These results also suggest that AFDAS is probably related to an underlying atrial cardiopathy. Clinical Trial Registration: [www.ClinicalTrials.gov], identifier [NCT03570060].

Indexed as

atrial cardiopathyatrial fibrillationbiomarkersechocardiographyHolterstroke

Identifiers

PMID35911547
PMCPMC9326228
OpenAlexW4285086266

What OpenQuestion holds

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Registered trials

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.