Evidence map›Paper›PMID 32650691›Full record

ArticleProceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine2020

Comparison of arterial wave intensity analysis by pressure-velocity and diameter-velocity methods in a virtual population of adult subjects.

Ryan M Reavette, Spencer J Sherwin, Mengxing Tang, Peter D Weinberg

Abstract read
In one paragraph

Article in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Detecting heart failure from B-mode ultrasound characterization of arterial pulse waves.American journal of physiology. Heart and circulatory physiology · 2024
    Article
  2. Article
  3. 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

4 authors.

Ryan M ReavetteDepartment of Bioengineering, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-5917-9936
Spencer J SherwinDepartment of Aeronautics, Imperial College London, London, UK.
Mengxing TangDepartment of Bioengineering, Imperial College London, London, UK.
Peter D WeinbergDepartment of Bioengineering, Imperial College London, London, UK.

Funding

British Heart Foundation PG/18/48/33832
6 · The paper itself

Abstract

Pressure-velocity-based analysis of arterial wave intensity gives clinically relevant information about the performance of the heart and vessels, but its utility is limited because accurate pressure measurements can only be obtained invasively. Diameter-velocity-based wave intensity can be obtained noninvasively using ultrasound; however, due to the nonlinear relationship between blood pressure and arterial diameter, the two wave intensities might give disparate clinical indications. To test the magnitude of the disagreement, we have generated an age-stratified virtual population to investigate how the two dominant nonlinearities viscoelasticity and strain-stiffening cause the two formulations to differ. We found strong agreement between the pressure-velocity and diameter-velocity methods, particularly for the systolic wave energy, the ratio between systolic and diastolic wave heights, and older subjects. The results are promising regarding the introduction of noninvasive wave intensities in the clinic.

Indexed as

ArteriesAdultBlood Flow VelocityBlood PressureHumansUltrasonographyone-dimensional computational modellingpulse wavesystemic circulationultrasoundvirtual populationWave intensity analysis

Identifiers

PMID32650691
PMCPMC7802055

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.