Evidence map›Paper›PMID 32296724›Full record

ArticleComputing in cardiology2018

The Reproducibility of Global Electrical Heterogeneity ECG Measurements.

Erick A Perez-Alday, Christopher Hamilton, Annabel Li-Pershing, Jose M Monroy-Trujillo, Michelle Estrella, Stephen M Sozio, Bernard Jaar, Rulan Parekh, Larisa Tereshchenko

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computing in cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Erick A Perez-AldayOregon Health & Science University, Portland, OR, USA.
Christopher HamiltonOregon Health & Science University, Portland, OR, USA.
Annabel Li-PershingOregon Health & Science University, Portland, OR, USA.
Jose M Monroy-TrujilloJohns Hopkins University, Baltimore, MD, USA.
Michelle EstrellaJohns Hopkins University, Baltimore, MD, USA.
Stephen M SozioJohns Hopkins University, Baltimore, MD, USA.
Bernard JaarJohns Hopkins University, Baltimore, MD, USA.
Rulan ParekhJohns Hopkins University, Baltimore, MD, USA.
Larisa TereshchenkoOregon Health & Science University, Portland, OR, USA.

Funding

Longitudinal Study of DialysisR01DK072367 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI PAREKH, RULAN S · 2007 to 2011
$3.7M
Novel ECG Measures and Risk of Sudden Cardiac DeathR01HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2013 to 2016
$1.5M
Novel ECG measures and risk of sudden cardiac deathR56HL118277 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI TERESHCHENKO, LARISA GENNADIEVNA · 2018 to 2018
$396k
NHLBI NIH HHS R01 HL118277NHLBI NIH HHS R56 HL118277NIDDK NIH HHS R01 DK072367
6 · The paper itself

Abstract

backgroundGlobal electrical heterogeneity (GEH) is a useful predictor of adverse clinical outcomes. However, reproducibility of GEH measurements on 10-second routine clinical ECG is unknown.

methodsData of the prospective cohort study of incident hemodialysis patients (n=253; mean age 54.6±13.5y; 56% male; 79% African American) were analysed. Two random 10-second segments of 5-minute ECG recording in sinus rhythm were compared. GEH was measured as spatial QRS-T angle, spatial ventricular gradient (SVG) magnitude and direction (azimuth and elevation), and a scalar value of SVG measured by (1) sum absolute QRST integral (SAI QRST), and (2) QT integral on vector magnitude signal (iVM

resultsFor all studied vectorcardiographic metrics, agreement was substantial (Lin's concordance coefficient >0.98), and precision was perfect (>99.99%). 95% limits of agreement were ±14° for spatial QRS-T angle, ±13° for SVG azimuth, ±4° for SVG elevation, ±14 mV*ms for SVG magnitude, and ±17 mV*ms for SAI QRST. SAI QRST and iVM

conclusionReproducibility of a 10-second automated GEH ECG measurements was substantial, and precision was perfect.

Identifiers

PMID32296724
PMCPMC7158900

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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.