Evidence map›Paper›PMID 32528317›Full record

ArticleFrontiers in physiology2020

Feasibility of Estimation of Aortic Wave Intensity Using Non-invasive Pressure Recordings in the Absence of Flow Velocity in Man.

Alun D Hughes, Chloe Park, Anenta Ramakrishnan, Jamil Mayet, Nish Chaturvedi, Kim H Parker

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 16 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

6 authors at 3 institutions in 1 country.

Alun D HughesMedical Research Council Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London, United Kingdom.
Chloe ParkMedical Research Council Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London, United Kingdom.
Anenta RamakrishnanCardiovascular Division, Faculty of Medicine, Imperial College London, National Heart & Lung Institute, London, United Kingdom.
Jamil MayetCardiovascular Division, Faculty of Medicine, Imperial College London, National Heart & Lung Institute, London, United Kingdom.
Nish ChaturvediMedical Research Council Unit for Lifelong Health and Ageing at UCL, Department of Population Science & Experimental Medicine, Faculty of Population Health Sciences, Institute of Cardiovascular Science, University College London, London, United Kingdom.
Kim H ParkerDepartment of Bioengineering, Imperial College London, London, United Kingdom.
Imperial College London · GBMedical Research Council · GBUniversity College London · GB

Funding

British Heart Foundation CS/13/1/30327Wellcome Trust
6 · The paper itself

Abstract

backgroundWave intensity analysis provides valuable information on ventriculo-arterial function, hemodynamics, and energy transfer in the arterial circulation. Widespread use of wave intensity analysis is limited by the need for concurrent measurement of pressure and flow waveforms. We describe a method that can estimate wave intensity patterns using only non-invasive pressure waveforms (pWIA).

methodsRadial artery pressure and left ventricular outflow tract (LVOT) flow velocity waveforms were recorded in 12 participants in the Southall and Brent Revisited (SABRE) study. Pressure waveforms were analyzed using custom-written software to derive the excess pressure (

results

conclusionThe

Indexed as

aortablood flowblood pressurehemodynamicswave intensity analysiswaves

Identifiers

PMID32528317
PMCPMC7260344
OpenAlexW3027821295

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.