Evidence map›Paper›PMID 28771538›Full record

ArticlePloS one2017

A novel noninvasive surface ECG analysis using interlead QRS dispersion in arrhythmogenic right ventricular cardiomyopathy.

Wan-Hsin Hsieh, Chin-Yu Lin, Abigail Louise D Te, Men-Tzung Lo, Cheng-I Wu, Fa-Po Chung, Yi-Chung Chang, Shih-Lin Chang, Chen Lin, Li-Wei Lo and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 18% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

17 authors at 3 institutions in 2 countries.

Wan-Hsin HsiehDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Chin-Yu LinDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Abigail Louise D TeDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Men-Tzung LoInstitute of Translational and Interdisciplinary Medicine and Department of Biomedical Sciences and Engineering, National Central University, Chung-Li, Taiwan.
Cheng-I WuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Fa-Po ChungDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Yi-Chung ChangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Shih-Lin ChangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Chen LinInstitute of Translational and Interdisciplinary Medicine and Department of Biomedical Sciences and Engineering, National Central University, Chung-Li, Taiwan.
Li-Wei LoDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Yu-Feng HuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Jo-Nan LiaoDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Yun-Yu ChenDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Shih-Jie JhuoDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Sunu Budhi RaharjoDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Yenn-Jiang LinDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID http://orcid.org/0000-0001-8395-1052
Shih-Ann ChenDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
National Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TWNational Central University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study investigated the feasibility of using the precordial surface ECG lead interlead QRS dispersion (IQRSD) in the identification of abnormal ventricular substrate in arrhythmogenic right ventricular cardiomyopathy (ARVC).

methodsSeventy-one consecutive patients were enrolled and reclassified into 4 groups: definite ARVC with epicardial ablation (Group 1), ARVC with ventricular tachycardia (VT, Group 2), idiopathic right ventricular outflow tract VT without ARVC (Group 3), and controls without VT (Group 4). IQRSD was quantified by the angular difference between the reconstruction vectors obtained from the QRS-loop decomposition, based on a principal component analysis (PCA). Electroanatomic mapping and simulated ECGs were used to investigate the relationship between QRS dispersion and abnormal substrate.

resultsThe percentage of the QRS loop area in the Group 1-2 was smaller than the controls (P = 0.01). The IQRSD between V1-V2 could differentiate all VTs from control (P<0.01). Group 1-2 had a greater IQRSD than the Group 3-4 (V4-V5,P = 0.001), and Group 1 had a greater IQRSD than Group 3-4 (V6-Lead I, P<0.001). Both real and simulated data had a positive correlation between the maximal IQRSD (γ = 0.62) and the extent of corresponding abnormal substrate (γ = 0.71, both P<0.001).

conclusionsThe IQRSD of the surface ECG precordial leads successfully differentiated ARVC from controls, and could be used as a noninvasive marker to identify the abnormal substrate and the status of ARVC patients who can benefit from epicardial ablation.

Indexed as

ElectrocardiographyAdultAgedArea Under CurveArrhythmogenic Right Ventricular DysplasiaCatheter AblationComputer SimulationCoronary AngiographyFemaleHeartHeart VentriclesHumansMagnetic Resonance ImagingMaleMiddle AgedMyocardium

Identifiers

PMID28771538
PMCPMC5542590
OpenAlexW2742392495

What OpenQuestion holds

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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.