Evidence map›Paper›PMID 33801566›Full record

ReviewBiology2021

Fluid-Structure Interaction Analyses of Biological Systems Using Smoothed-Particle Hydrodynamics.

Milan Toma, Rosalyn Chan-Akeley, Jonathan Arias, Gregory D Kurgansky, Wenbin Mao

Abstract readReview
In one paragraph

Review in Biology, 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
–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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Clinical Impact of Computational Heart Valve Models.Materials (Basel, Switzerland) · 2022
    Review
  8. Article
  9. 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

5 authors.

Milan TomaDepartment of Osteopathic Manipulative Medicine, New York Institute of Technology, College of Osteopathic Medicine, Old Westbury, NY 11568, USA.ORCID 0000-0003-2154-3728
Rosalyn Chan-AkeleyLang Research Center, NewYork-Presbyterian Hospital, Queens, NY 11355, USA.
Jonathan AriasDepartment of Osteopathic Manipulative Medicine, New York Institute of Technology, College of Osteopathic Medicine, Old Westbury, NY 11568, USA.ORCID 0000-0001-7122-2223
Gregory D KurganskyDepartment of Osteopathic Manipulative Medicine, New York Institute of Technology, College of Osteopathic Medicine, Old Westbury, NY 11568, USA.ORCID 0000-0002-1357-5124
Wenbin MaoDepartment of Mechanical Engineering, University of South Florida, Tampa, FL 33620, USA.ORCID 0000-0002-8582-0205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the inherent complexity of biological applications that more often than not include fluids and structures interacting together, the development of computational fluid-structure interaction models is necessary to achieve a quantitative understanding of their structure and function in both health and disease. The functions of biological structures usually include their interactions with the surrounding fluids. Hence, we contend that the use of fluid-structure interaction models in computational studies of biological systems is practical, if not necessary. The ultimate goal is to develop computational models to predict human biological processes. These models are meant to guide us through the multitude of possible diseases affecting our organs and lead to more effective methods for disease diagnosis, risk stratification, and therapy. This review paper summarizes computational models that use smoothed-particle hydrodynamics to simulate the fluid-structure interactions in complex biological systems.

Indexed as

biological systemsfluid–structure interactionnumerical analysessimulationsmoothed-particle hydrodynamics

Identifiers

PMID33801566
PMCPMC8001855

What OpenQuestion holds

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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.