Evidence map›Paper›PMID 37092499›Full record

SynthesisMedical sciences (Basel, Switzerland)2023

Electrocardiographic Predictors of Atrial Fibrillation.

Panagiota Anna Chousou, Rahul Chattopadhyay, Vasiliki Tsampasian, Vassilios S Vassiliou, Peter John Pugh

Abstract readSystematic Review
In one paragraph

Synthesis in Medical sciences (Basel, Switzerland), 2023. 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
–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

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Journal of the American Heart Association · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. The Evaluation of P-Wave Parameters in Patients With Percutaneous Closure of Atrial Septal Defect.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Review
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.

Panagiota Anna ChousouNorwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.
Rahul ChattopadhyayNorwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.
Vasiliki TsampasianNorwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.ORCID 0000-0003-1534-7587
Vassilios S VassiliouNorwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.ORCID 0000-0002-4005-7752
Peter John PughAddenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtrial fibrillation (AF) is the most common pathological arrhythmia, and its complications lead to significant morbidity and mortality. However, patients with AF can often go undetected, especially if they are asymptomatic or have a low burden of paroxysms. Identification of those at high risk of AF development may help refine screening and management strategies.

methodsPubMed and Embase databases were systematically searched for studies looking at electrocardiographic predictors of AF from inception to August 2021.

resultsA total of 115 studies were reported which examined a combination of atrial and ventricular parameters that could be electrocardiographic predictors of AF. Atrial predictors include conduction parameters, such as the PR interval, p-wave index and dispersion, and partial interatrial or advanced interatrial block, or morphological parameters, such as p-wave axis, amplitude and terminal force. Ventricular predictors include abnormalities in QRS amplitude, morphology or duration, QT interval duration, r-wave progression and ST segment, i.e., t-wave abnormalities.

conclusionsThere has been significant interest in electrocardiographic prediction of AF, especially in populations at high risk of atrial AF, such as those with an embolic stroke of undetermined source. This review highlights the breadth of possible predictive parameters, and possible pathological bases for the predictive role of each parameter are proposed.

Indexed as

Atrial FibrillationElectrocardiographyHeart AtriaHeart RateHeart VentriclesHumansatrial fibrillationatrial parameterspredictionventricular parameters

Identifiers

PMID37092499
PMCPMC10123668

What OpenQuestion holds

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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.