Evidence map›Paper›PMID 34076757›Full record

ArticleBiomechanics and modeling in mechanobiology2021

A distributed lumped parameter model of blood flow with fluid-structure interaction.

Ryan Pewowaruk, Alejandro Roldán-Alzate

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

2 authors at 1 institution in 1 country.

Ryan PewowarukBiomedical Engineering, University of Wisconsin, Madison, USA.ORCID http://orcid.org/0000-0003-1190-7196
Alejandro Roldán-AlzateBiomedical Engineering, University of Wisconsin, Madison, USA. roldan@wisc.edu.
University of Wisconsin–Madison · US

Funding

Training Program in Translational Cardiovascular Science (TPTCS)T32HL007936 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI Lee Lochbaum Eckhardt, Gail A Robertson · 2001 to 2026
$11.6M
National Heart, Lung, and Blood Institute (US) T32 HL 007936NHLBI NIH HHS T32 HL007936
6 · The paper itself

Abstract

A distributed lumped parameter (DLP) model of blood flow was recently developed that can be simulated in minutes while still incorporating complex sources of energy dissipation in blood vessels. The aim of this work was to extend the previous DLP modeling framework to include fluid-structure interactions (DLP-FSI). This was done by using a simple compliance term to calculate pressure that does not increase the simulation complexity of the original DLP models. Verification and validation studies found DLP-FSI simulations had good agreement compared to analytical solutions of the wave equations, experimental measurements of pulsatile flow in elastic tubes, and in vivo MRI measurements of thoracic aortic flow. This new development of DLP-FSI allows for significantly improved computational efficiency of FSI simulations compared to FSI approaches that solve the full 3D conservation of mass and momentum equations while also including the complex sources of energy dissipation occurring in cardiovascular flows that other simplified models neglect.

Indexed as

Models, CardiovascularAorta, ThoracicBlood Flow VelocityBlood VesselsComputer SimulationConstriction, PathologicHemodynamicsHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingModels, TheoreticalNonlinear DynamicsPulsatile FlowStress, MechanicalFluid-structure interactionsHemodynamicsImage based modelingReduced order model

Identifiers

PMID34076757
PMCPMC11891750
OpenAlexW3164168027

What OpenQuestion holds

Textmetadata
LicenceTDM
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.