Evidence map›Paper›PMID 33619292›Full record

ArticleScientific reports2021

Spatial distribution of physiologic 12-lead QRS complex.

Katerina Hnatkova, Irena Andršová, Ondřej Toman, Peter Smetana, Katharina M Huster, Martina Šišáková, Petra Barthel, Tomáš Novotný, Georg Schmidt, Marek Malik

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 13 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

10 authors at 6 institutions in 4 countries.

Katerina HnatkovaNational Heart and Lung Institute, Imperial College, ICTEM, Hammersmith Campus, 72 Du Cane Road, Shepherd's Bush, London, W12 0NN, England.
Irena AndršováDepartment of Internal Medicine and Cardiology, Faculty of Medicine, University Hospital Brno, Masaryk University, Jihlavská 20, 625 00, Brno, Czech Republic.
Ondřej TomanDepartment of Internal Medicine and Cardiology, Faculty of Medicine, University Hospital Brno, Masaryk University, Jihlavská 20, 625 00, Brno, Czech Republic.
Peter SmetanaWilhelminenspital der Stadt Wien, Montleartstraße 37, 1160, Vienna, Austria.
Katharina M HusterKlinikum Rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany.
Martina ŠišákováDepartment of Internal Medicine and Cardiology, Faculty of Medicine, University Hospital Brno, Masaryk University, Jihlavská 20, 625 00, Brno, Czech Republic.
Petra BarthelKlinikum Rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany.
Tomáš NovotnýDepartment of Internal Medicine and Cardiology, Faculty of Medicine, University Hospital Brno, Masaryk University, Jihlavská 20, 625 00, Brno, Czech Republic.
Georg SchmidtKlinikum Rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany.
Marek MalikNational Heart and Lung Institute, Imperial College, ICTEM, Hammersmith Campus, 72 Du Cane Road, Shepherd's Bush, London, W12 0NN, England. marek.malik@imperial.ac.uk.
Lung Institute · USMasaryk University · CZTechnical University of Munich · DEUniversity Hospital Brno · CZKlinikum rechts der Isar · DEWilhelminen Hospital · AT

Funding

British Heart Foundation NH/16/2/32499
6 · The paper itself

Abstract

The normal physiologic range of QRS complex duration spans between 80 and 125 ms with known differences between females and males which cannot be explained by the anatomical variations of heart sizes. To investigate the reasons for the sex differences as well as for the wide range of normal values, a technology is proposed based on the singular value decomposition and on the separation of different orthogonal components of the QRS complex. This allows classification of the proportions of different components representing the 3-dimensional representation of the electrocardiographic signal as well as classification of components that go beyond the 3-dimensional representation and that correspond to the degree of intricate convolutions of the depolarisation sequence. The technology was applied to 382,019 individual 10-s ECG samples recorded in 639 healthy subjects (311 females and 328 males) aged 33.8 ± 9.4 years. The analyses showed that QRS duration was mainly influenced by the proportions of the first two orthogonal components of the QRS complex. The first component demonstrated statistically significantly larger proportion of the total QRS power (expressed by the absolute area of the complex in all independent ECG leads) in females than in males (64.2 ± 11.6% vs 59.7 ± 11.9%, p < 0.00001-measured at resting heart rate of 60 beats per minute) while the second component demonstrated larger proportion of the QRS power in males compared to females (33.1 ± 11.9% vs 29.6 ± 11.4%, p < 0.001). The analysis also showed that the components attributable to localised depolarisation sequence abnormalities were significantly larger in males compared to females (2.85 ± 1.08% vs 2.42 ± 0.87%, p < 0.00001). In addition to the demonstration of the technology, the study concludes that the detailed convolution of the depolarisation waveform is individual, and that smoother and less intricate depolarisation propagation is the mechanism likely responsible for shorter QRS duration in females.

Indexed as

ElectrocardiographyElectrophysiological PhenomenaAdultAlgorithmsBiological Variation, PopulationComputational BiologyData AnalysisFemaleHealthy VolunteersHeartHumansMaleMiddle AgedSex Factors

Identifiers

PMID33619292
PMCPMC7900243
OpenAlexW3131992185

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.