Evidence map›Paper›PMID 32375662›Full record

ArticleBMC family practice2020

Screening for atrial fibrillation and other arrhythmias in primary care.

Kam Cheong Wong, Cindy Kok, Simone Marschner, Tim Usherwood, Clara K Chow

Open access · goldAbstract read
In one paragraph

Article in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Key stakeholder views on atrial fibrillation screening: a systematic mixed-studies review and interpretive analysis.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
    Pooled it
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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

5 authors at 1 institution in 1 country.

Kam Cheong WongWestmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead Hospital, Westmead, NSW, Australia. kam.wong@sydney.edu.au.ORCID 0000-0003-1898-7678
Cindy KokNorthern Clinical School, Faculty of Medicine and Health, The University of Sydney, Royal North Shore Hospital, St Leonards, NSW, Australia.
Simone MarschnerWestmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead Hospital, Westmead, NSW, Australia.
Tim UsherwoodWestmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead Hospital, Westmead, NSW, Australia.
Clara K ChowWestmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead Hospital, Westmead, NSW, Australia.
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) and other arrhythmias are prevalent and often encountered by general practitioners (GPs). In response to the growing prevalence and to assist practitioners in the diagnosis and management of AF, the Cardiac Society of Australia & New Zealand and Heart Foundation of Australia published the first Australian AF Guidelines in 2018. We aimed to examine (a) the proportion of GPs who performed any form of AF screening and identify the methods they applied, (b) GPs' awareness of the AF Guidelines and approaches to arrhythmia screening, (c) the roles of conventional 12-lead ECG and mobile health devices, and (d) GPs' confidence in ECG interpretation and need for training.

methodsA cross-sectional online survey titled "GPs Screen their patients for Atrial Fibrillation and othEr aRrhythmia (GPSAFER)" was conducted from October 2018 to March 2019. The participants were recruited via various GP networks across Australia. Ethics approval was granted by The University of Sydney.

resultsA total of 463 surveys were completed. Many GPs (394/463, 85.1%, 95% CI 81.5-88.2%) performed some forms of AF screening and applied at least one AF screening method, most frequently pulse palpation (389/463, 84.0%). Some (299/463, 64.6%) GPs considered assessing their patients for other arrhythmias (237/299, 79.3% for complete heart block and 236/299, 78.9% for long-QT). Most GPs (424/463, 91.6%) were not using mobile ECG devices in their practice but some (147/463, 31.7%) were contemplating it. One third (175/463, 37.8%) of GPs were aware of the Australian AF Guidelines; those aware were more likely to perform AF screening (98.9% vs 76.7%, p <  0.001). Factors significantly and positively associated with AF screening were "awareness of the AF Guidelines" (p <  0.001), "number of years working in general practice" (p <  0.001), and "confidence in ECG interpretation of AF" (p = 0.003). Most GPs reported that they were very or extremely confident in interpreting AF (381/463, 82.3%) and complete heart block (266/463, 57.5%). Many GPs (349/463, 75.4%) would like to receive online ECG interpretation training.

conclusionsAssessment of arrhythmias is common in general practice and GPs are open to further training in ECG interpretation and using mobile ECG devices to aid their clinical practice. Increasing awareness of AF Guidelines and improving confidence in ECG interpretation may increase AF screening.

Indexed as

General PractitionersPrimary Health CareArrhythmias, CardiacAtrial FibrillationAustraliaCross-Sectional StudiesDiagnosis, DifferentialElectrocardiographyHealth Care SurveysHumansMass ScreeningArrhythmiaAtrial fibrillationeHealthElectrocardiogramElectrocardiographyMobile healthScreening

Identifiers

PMID32375662
PMCPMC7201749
OpenAlexW3022948848

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.