Evidence map›Paper›PMID 39319414›Full record

ArticleEuropean journal of preventive cardiology2024

Phenotypic characterization of people at risk of atrial fibrillation: protocol for the FIND-AF longitudinal cohort study.

Ali Wahab, Ramesh Nadarajah, Catherine Reynolds, Sheena Bennett, Edisemi Ambakederemo, Mohammad Harris, Tanina Younsi, Tobin Joseph, Keerthenan Raveendra, Adam Smith and 5 more

Abstract readMulticenter Study
In one paragraph

Article in European journal of preventive cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Association of the EHRA/HRS/APHRS/LHRS definition of atrial cardiomyopathy with incident atrial fibrillation, heart failure, and stroke.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
    Article
  2. Article
  3. 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

15 authors.

Ali WahabLeeds Institute of Data Analytics, Clarendon Way, University of Leeds, Leeds LS2 9DA, UK.ORCID 0009-0001-6245-6260
Ramesh NadarajahLeeds Institute of Data Analytics, Clarendon Way, University of Leeds, Leeds LS2 9DA, UK.ORCID 0000-0001-9895-9356
Catherine ReynoldsLeeds Institute of Data Analytics, Clarendon Way, University of Leeds, Leeds LS2 9DA, UK.
Sheena BennettLeeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9DA, UK.
Edisemi AmbakederemoLeeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9DA, UK.
Mohammad HarrisLeeds Institute of Data Analytics, Clarendon Way, University of Leeds, Leeds LS2 9DA, UK.
Tanina YounsiDepartment of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds LS1 3EX, UK.
Tobin JosephLeeds Institute of Data Analytics, Clarendon Way, University of Leeds, Leeds LS2 9DA, UK.
Keerthenan RaveendraFaculty of Medicine and Health, University of Leeds, Leeds LS2 9JT, UK.
Adam SmithLeeds Institute of Data Analytics, Clarendon Way, University of Leeds, Leeds LS2 9DA, UK.
Asad BhattyLeeds Institute of Data Analytics, Clarendon Way, University of Leeds, Leeds LS2 9DA, UK.
Gregory Y H LipLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, Liverpool Heart and Chest Hospital, Liverpool, UK.
Peter P SwobodaLeeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9DA, UK.
Jianhua WuWolfson Institute of Population Health, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.ORCID 0000-0001-6093-599X
Chris P GaleLeeds Institute of Data Analytics, Clarendon Way, University of Leeds, Leeds LS2 9DA, UK.

Funding

Barts Charity MGU0504British Heart Foundation CC/22/250026
6 · The paper itself

Abstract

aimsThe Future Innovations in Novel Detection of Atrial Fibrillation (FIND-AF) longitudinal cohort study is a multi-centre prospective cohort study of patients identified at risk of atrial fibrillation (AF). The aim of the FIND-AF longitudinal cohort study is to provide multi-modal phenotypic characterization of these patients. METHODS AND

resultsA total of 1955 participants identified as at risk of AF by the FIND-AF algorithm from primary care electronic health record (EHR) data, aged 30 years and above and eligible for oral anticoagulation, will be recruited between October 2023 and November 2024 to receive home-based intermittent electrocardiogram monitoring. About 500 participants without diagnosed AF will then undergo cross-sectional phenotypic characterization including physical examination, symptoms assessment, serum blood biomarkers and echocardiography, and non-stress cardiac magnetic resonance imaging. Longitudinal information about cardio-renal-metabolic-pulmonary outcomes will be ascertained from linkages to EHR data. The study is funded by the British Heart Foundation (CC/22/250026). The study has ethical approval (North West-Greater Manchester South Research Ethics Committee reference 23/NW/0180). Findings will be announced at relevant conferences and published in peer-reviewed journals in line with the funder's open-access policy.

conclusionThe FIND-AF multi-centre prospective longitudinal cohort study aims to (i) provide evidence for the impact of comorbidities on AF genesis, (ii) uncover actionable targets to prevent AF, and (iii) act as a platform for cohort randomized clinical trials that investigate enhanced detection and prevention of AF.

Indexed as

Atrial FibrillationPhenotypeAdultAgedBiomarkersElectrocardiography, AmbulatoryElectronic Health RecordsFemaleHumansLongitudinal StudiesMaleMiddle AgedMulticenter Studies as TopicPredictive Value of TestsProspective StudiesResearch DesignBiomarkersAtrial fibrillationCohortMultimodality imagingPhenotypingPreventionPrimary careProtocolRandomized clinical trial

Identifiers

PMID39319414
PMCPMC11663481

What OpenQuestion holds

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LicenceCC BY
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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.