Evidence map›Paper›PMID 26874566›Full record

ArticleJournal of electrocardiology

Beat-to-beat determinants of the beat-to-beat temporal and spatial variability of repolarization.

Albert Feeny, Larisa G Tereshchenko

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of electrocardiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Albert FeenyWhiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA.
Larisa G TereshchenkoThe Division of Cardiology, Department of Medicine, Johns Hopkins Hospital, Baltimore, MD, USA; The Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA. Electronic address: tereshch@ohsu.edu.

Funding

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 HL118277
6 · The paper itself

Abstract

backgroundThe goal of this study was to compare the time series predictors of beat-to-beat variability in repolarization in healthy individuals.

methodsSpatial QRS- and T-vector amplitudes, spatial QRS-T, RR' and TT' angles, RR' and QT intervals, and QRS- and T-loop roundness were measured on 453 consecutive sinus beats in 168 healthy subjects (mean age 39.8±15.6years; 50% men; 93% white). Panel time-series regression models were adjusted by age, sex, and race. Appropriate time series of ECG metrics served as predictors and outcomes.

resultsIncrease in T-loop roundness index by 0.1 was associated with 1.1° (95%CI 0.9-2.2; P=0.048) increase in corresponding TT' angle. One unit increase in a respiration index was associated with 4ms (95%CI 0.6-7.0; P=0.021) increase in QT interval.

conclusionsSpatial TT' angle and beat-to-beat variability in T-loop roundness represent intrinsic measures of repolarization variability. QT interval variability characterizes the effect of respiration and heart rate variability.

Indexed as

Models, CardiovascularAdultAlgorithmsComputer SimulationDiagnosis, Computer-AssistedElectrocardiographyFemaleHeart Conduction SystemHeart RateHeart Rate DeterminationHumansMaleReference ValuesReproducibility of ResultsSensitivity and SpecificityVectorcardiographyQT intervalRepolarizationRepolarization variabilitySpatial TT′ angle

Identifiers

PMID26874566
PMCPMC4853270

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Registered trials

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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.