sj-docx-3-eso-10.1177_23969873231172559 – Supplemental material for Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis

Authors: Berry-Noronha, Alexander; Bonavia, Luke; Wilson, Duncan; Eranti, Antti; Rasmussen, Maria Uggen; Sajadieh, Ahmad; Kreimer, Fabienne; +2 Authors

doi: 10.25384/sage.22757550 , 10.25384/sage.22757550.v1

sj-docx-3-eso-10.1177_23969873231172559 – Supplemental material for Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis

- Summary
- Subjects
- Related research
  (1)
- Metrics

Abstract

Supplemental material, sj-docx-3-eso-10.1177_23969873231172559 for Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis by Alexander Berry-Noronha, Luke Bonavia, Duncan Wilson, Antti Eranti, Maria Uggen Rasmussen, Ahmad Sajadieh, Fabienne Kreimer, Michael Gotzmann and Ramesh Sahathevan in European Stroke Journal

Related Organizations

Bispebjerg Hospital
Denmark
Grampians Health
Australia

Keywords

FOS: Clinical medicine, Cardiology, Medicine, 110904 Neurology and Neuromuscular Diseases

1 Research products, page 1 of 1

Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis
2023IsSupplementTo

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average