Evidence map›Paper›PMID 30224404›Full record

SynthesisBMJ open2018

Atrial fibrillation detection using single lead portable electrocardiographic monitoring: a systematic review and meta-analysis.

Satish Ramkumar, Nitesh Nerlekar, Daniel D'Souza, Derek J Pol, Jonathan M Kalman, Thomas H Marwick

Open access · goldAbstract readComparative StudyMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
5.8field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Polymer-Based Multiparameter Sensing Integrated Photonic Chip for Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  15. The emerging role of digital health in the management of asthma.Therapeutic advances in chronic disease · 2023
    Review
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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

6 authors at 2 institutions in 1 country.

Satish RamkumarBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Nitesh NerlekarBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Daniel D'SouzaMonash Heart, Monash Cardiovascular Research Centre, Melbourne, Victoria, Australia.
Derek J PolMonash Heart, Monash Cardiovascular Research Centre, Melbourne, Victoria, Australia.
Jonathan M KalmanDepartment of Cardiology, Royal Melbourne Hospital and the Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia.
Thomas H MarwickBaker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Baker Heart and Diabetes Institute · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRecent technology advances have allowed for heart rhythm monitoring using single-lead ECG monitoring devices, which can be used for early diagnosis of atrial fibrillation (AF). We sought to investigate the AF detection rate using portable ECG devices compared with Holter monitoring. SETTING, PARTICIPANTS AND OUTCOME MEASURES: We searched the Medline, Embase and Scopus databases (conducted on 8 May 2017) using search terms related to AF screening and included studies with adults aged >18 years using portable ECG devices or Holter monitoring for AF detection. We excluded studies using implantable loop recorders and pacemakers. Using a random-effects model we calculated the overall AF detection rate. Meta-regression analysis was performed to explore potential sources for heterogeneity. Quality of reporting was assessed using the tool developed by Downs and Black.

resultsPortable ECG monitoring was used in 18 studies (n=117 436) and Holter monitoring was used in 36 studies (n=8498). The AF detection rate using portable ECG monitoring was 1.7% (95% CI 1.4 to 2.1), with significant heterogeneity between studies (p<0.001). There was a moderate linear relationship between total monitoring time and AF detection rate (r=0.65, p=0.003), and meta-regression identified total monitoring time (p=0.005) and body mass index (p=0.01) as potential contributors to heterogeneity. The detection rate (4.8%, 95% CI 3.6% to 6.0%) in eight studies (n=10 199), which performed multiple ECG recordings was comparable to that with 24 hours Holter (4.6%, 95% CI 3.5% to 5.7%). Intermittent recordings for 19 min total produced similar AF detection to 24 hours Holter monitoring.

conclusionPortable ECG devices may offer an efficient screening option for AF compared with 24 hours Holter monitoring. PROSPERO REGISTRATION NUMBER: CRD42017061021.

Indexed as

Atrial FibrillationElectrocardiographyElectrocardiography, AmbulatoryHumans

Identifiers

PMID30224404
PMCPMC6144487
OpenAlexW2891366979

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.