Evidence map›Paper›PMID 35859587›Full record

ArticleFrontiers in cardiovascular medicine2022

Blood-Based Biomarkers to Search for Atrial Fibrillation in High-Risk Asymptomatic Individuals and Cryptogenic Stroke Patients.

Elena Palà, Alejandro Bustamante, Jorge Pagola, Jesus Juega, Jaume Francisco-Pascual, Anna Penalba, Maite Rodriguez, Mercedes De Lera Alfonso, Juan F Arenillas, Juan Antonio Cabezas and 14 more

Open 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. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 6% 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.

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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Comprehensive assessment of novel cardiovascular biomarkers in AF.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
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  12. Disturbed atrial metabolism, shear stress, and cardiac load contribute to atrial fibrillation after ablation: AXAFA biomolecule study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
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  15. Association of bone morphogenetic protein 10 and recurrent atrial fibrillation after catheter ablation.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
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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

24 authors at 11 institutions in 1 country.

Elena PalàNeurovascular Research Laboratory, Vall d'Hebron Institute of Research, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Alejandro BustamanteNeurovascular Research Laboratory, Vall d'Hebron Institute of Research, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Jorge PagolaStroke Unit, Medicine Department, Vall d'Hebrón Hospital and Autonomous University of Barcelona, Barcelona, Spain.
Jesus JuegaStroke Unit, Medicine Department, Vall d'Hebrón Hospital and Autonomous University of Barcelona, Barcelona, Spain.
Jaume Francisco-PascualArrhythmia Unit-Cardiology Department, Vall d'Hebrón Hospital, Barcelona, Spain.
Anna PenalbaNeurovascular Research Laboratory, Vall d'Hebron Institute of Research, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Maite RodriguezStroke Unit, Medicine Department, Vall d'Hebrón Hospital and Autonomous University of Barcelona, Barcelona, Spain.
Mercedes De Lera AlfonsoStroke Unit, University Hospital of Valladolid, Valladolid, Spain.
Juan F ArenillasStroke Unit, University Hospital of Valladolid, Valladolid, Spain.
Juan Antonio CabezasStroke Unit, University Hospital Virgen del Rocio, Seville, Spain.
Soledad Pérez-SánchezStroke Unit, University Hospital Virgen Macarena, Seville, Spain.
Francisco MonicheStroke Unit, University Hospital Virgen del Rocio, Seville, Spain.
Reyes de TorresStroke Unit, University Hospital Virgen Macarena, Seville, Spain.
Teresa González-AlujasCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBER-CV), Madrid, Spain.
Josep Lluís Clúa-EspunyEquip d'Atenció Primària Tortosa Est, SAP Terres de l'Ebre, Institut Català de la Salut, Tortosa, Spain.
Juan Ballesta-OrsInstitut d'Investigació en Atenció Primària IDIAP Jordi Gol, Ebrictus Group, Barcelona, Spain.
Domingo RibasEAP Sant Pere i Sant Pau, DAP Camp de Tarragona, Institut Català de la Salut, Tarragona, Spain.
Juan AcostaDepartment of Cardiology, Hospital Universitario Virgen del Rocio, Seville, Spain.
Alonso PedroteDepartment of Cardiology, Hospital Universitario Virgen del Rocio, Seville, Spain.
Felipe Gonzalez-LoyolaGerència Atenció Primària de Barcelona, Institut Català de la Salut, Barcelona, Spain.
Delicia Gentile LorenteInstitut d'Investigació en Atenció Primària IDIAP Jordi Gol, Ebrictus Group, Barcelona, Spain.
Miguel Ángel MuñozGerència Atenció Primària de Barcelona, Institut Català de la Salut, Barcelona, Spain.
Carlos A MolinaStroke Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.
Joan MontanerNeurovascular Research Laboratory, Vall d'Hebron Institute of Research, Hospital Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
Hospital Universitario Virgen del Rocío · ESInstitut Català de la Salut · ESInstitut Universitari d'Investigació en Atenció Primària Jordi Gol · ESUniversitat Autònoma de Barcelona · ESVall d'Hebron Institut de Recerca · ESHospital Universitario Virgen Macarena · ESUniversidad de Valladolid · ESCentro de Investigación Biomédica en Red · ESCentro de Investigación en Red en Enfermedades Cardiovasculares · ESHospital Universitari Germans Trias i Pujol · ESVall d'Hebron Hospital Universitari · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atrial fibrillation (AF) increases the risk of ischemic stroke in asymptomatic individuals and may be the underlying cause of many cryptogenic strokes. We aimed to test the usefulness of candidate blood-biomarkers related to AF pathophysiology in two prospective cohorts representative of those populations. Methods: Two hundred seventy-four subjects aged 65-75 years with hypertension and diabetes from the AFRICAT cohort, and 218 cryptogenic stroke patients aged >55 years from the CRYPTO-AF cohort were analyzed. AF was assessed by 4 weeks of monitoring with a wearable Holter device (NuuboTM™). Blood was collected immediately before monitoring started. 10 candidate biomarkers were measured by automated immunoassays (Roche, Penzberg) in the plasma of all patients. Univariate and logistic regression analyses were performed in each cohort separately. Results: Atrial fibrillation detection rate was 12.4% (AFRICAT cohort) and 22.9% (CRYPTO-AF cohort). 4 biomarkers were significantly increased in asymptomatic individuals with AF [Troponin-T, Angiopoietin-2 (Ang-2), Endocan, and total N-terminal pro-B type natriuretic peptide (NT-proBNP)] and 7 biomarkers showed significantly higher concentrations in cryptogenic stroke patients with AF detection [growth differentiation factor 15, interleukin 6, Troponin-T, Ang-2, Bone morphogenic protein 10, Dickkopf-related protein 3 (DKK-3), and total NT-proBNP]. The models including Ang-2 and total NT-proBNP [AUC 0.764 (0.665-0.863)], and Ang-2 and DKK-3 [AUC = 0.733 (0.654-0.813)], together with age and sex, showed the best performance to detect AF in high-risk asymptomatic individuals, and in cryptogenic stroke patients, respectively. Conclusion: Blood-biomarkers, in particular, total NT-proBNP, DKK-3, and Ang-2, were associated with AF reflecting two mechanistically different pathways involved in AF pathophysiology (AF stretch and vascular changes). The combination of these biomarkers could be useful in AF screening strategies in the primary care setting and also for searching AF after cryptogenic stroke.

Indexed as

atrial fibrillationbiomarkerscryptogenic strokescreeningstroke

Identifiers

PMID35859587
PMCPMC9289129
OpenAlexW4283797205

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Registered trials

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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.