Evidence map›Paper›PMID 35735812›Full record

ReviewJournal of cardiovascular development and disease2022

The Impact of Ethnicity on Athlete ECG Interpretation: A Systematic Review.

Angus J Davis, Christopher Semsarian, John W Orchard, Andre La Gerche, Jessica J Orchard

Abstract readReview
In one paragraph

Review in Journal of cardiovascular development and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Angus J DavisAgnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney 2050, Australia.ORCID 0000-0001-9327-901X
Christopher SemsarianAgnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney 2050, Australia.
John W OrchardFaculty of Medicine and Health, The University of Sydney, Sydney 2006, Australia.ORCID 0000-0003-3530-1711
Andre La GercheBaker Heart and Diabetes Institute, Melbourne 3004, Australia.
Jessica J OrchardAgnes Ginges Centre for Molecular Cardiology, Centenary Institute, Sydney 2050, Australia.ORCID 0000-0002-5702-7277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Athlete ECG interpretation criteria have been developed and refined from research in athlete populations; however, current guidelines are based on available data primarily from Caucasian and Black athletes. This study aimed to assess the impact of ethnicity on ECG interpretation in athletes. A systematic review was conducted of the MEDLINE, EMBASE, Scopus, SPORTDiscus, and Web of Science databases, for papers that assessed athlete screening ECGs and compared findings on the basis of ethnicity. Fifty-one papers which compared ECGs from various ethnicities were included. Most studies assessed Black athletes against Caucasian athletes and found a greater prevalence of T-wave inversion (TWI) (2.6-22.8% vs. 0-5.0%) and anterior TWI (3.7-14.3% vs. 0.6-2.0%). Black athlete subgroups in Africa had TWI (20-40%) and anterior TWI (4.3-18.7%) at a higher prevalence than other Black athletes. Athletes who were defined as mixed-race, Asian, and Pacific Islander are potentially more like Black athletes than Caucasian athletes. Black ethnicity is known to have an impact on the accurate interpretation of athlete ECGs; however, there is nuance related to origin of both parents. Asian and Pacific Islander origin also may impact athlete ECG interpretation. Further research is required to assist in distinguishing abnormal and normal athlete ECGs in different ethnic populations.

Indexed as

athleteelectrocardiogram interpretationethnicitypreventative cardiologyscreening

Identifiers

PMID35735812
PMCPMC9225578

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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.