Evidence map›Paper›PMID 36712165›Full record

ArticleEuropean heart journal. Digital health2022

Correlation between diastolic seismocardiography variables and echocardiography variables

Ahmad Agam, Peter Søgaard, Kristian Kragholm, Ask Schou Jensen, Kasper Sørensen, John Hansen, Samuel Schmidt

Open access · goldAbstract read
In one paragraph

Article in European heart journal. Digital health, 2022. 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
0.7field-weighted citation impact, top 34% 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, 9 citations in OpenAlex.

  1. Review
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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

7 authors at 2 institutions in 1 country.

Ahmad AgamFaculty of Medicine, Aalborg University, Aalborg, Denmark.
Peter SøgaardDepartment of Cardiology, Aalborg University Hospital, Aalborg, Denmark.ORCID https://orcid.org/0000-0002-7441-0630
Kristian KragholmDepartment of Cardiology, Aalborg University Hospital, Aalborg, Denmark.
Ask Schou JensenDepartment of Health Science and Technology, Aalborg University AAU, Aalborg, Denmark.
Kasper SørensenDepartment of Health Science and Technology, Aalborg University AAU, Aalborg, Denmark.
John HansenDepartment of Health Science and Technology, Aalborg University AAU, Aalborg, Denmark.
Samuel SchmidtDepartment of Health Science and Technology, Aalborg University AAU, Aalborg, Denmark.
Aalborg University · DKAalborg University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Echocardiography is a key diagnostic tool for assessment of myocardial performance and haemodynamics. Seismocardiography (SCG) can potentially provide fast and reliable assessments of key components related to myocardial performance. The aims of this study were to investigate the correlation between SCG and echocardiographic measures, and a decrease in preload by raising the subjects to a 30° head-up tilt position would be detected by both echocardiography and SCG. Methods and results: A total of 45 subjects were included in the study. SCG and electrocardiogram were recorded simultaneously and afterwards echocardiography was recorded. The SCG signals were divided into individual heart beats using a duration-dependent Markov model. Using a fiducial point detection algorithm, the diastolic fiducial points were identified. The amplitudes from the SCG showed a high correlation, especially with the variable Conclusion: The results found in this study showed a high correlation between the amplitudes from the diastolic SCG and the diastolic variable

Indexed as

CardiologyDiastolic variablesEchocardiographyNon-invasivePreloadSeismocardiography

Identifiers

PMID36712165
PMCPMC9707922
OpenAlexW4294226017

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.