Evidence map›Paper›PMID 27506597›Full record

ArticleThe Journal of physiology2016

Roadmap for cardiovascular circulation model.

Soroush Safaei, Christopher P Bradley, Vinod Suresh, Kumar Mithraratne, Alexandre Muller, Harvey Ho, David Ladd, Leif R Hellevik, Stig W Omholt, J Geoffrey Chase and 5 more

Abstract read
In one paragraph

Article in The Journal of physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Analysing and simulating energy-based models in biology using BondGraphTools.The European physical journal. E, Soft matter · 2021
    Article
  8. Article
  9. Article
  10. Exploring cardiac form and function: A length-scale computational biology approach.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  11. Article
  12. Review
  13. Article
  14. The Cardiac Physiome Project.The Journal of physiology · 2016
    Article
  15. 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

15 authors.

Soroush SafaeiAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.ORCID 0000-0001-5734-243X
Christopher P BradleyAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.ORCID 0000-0001-6554-1463
Vinod SureshAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-7198-1446
Kumar MithraratneAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Alexandre MullerENSEEIHT, National Polytechnic Institute of Toulouse, Toulouse, France.
Harvey HoAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
David LaddAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Leif R HellevikFaculty of Medicine, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
Stig W OmholtFaculty of Medicine, Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
J Geoffrey ChaseDepartment of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand.
Lucas O MüllerLNCC/MCTI, National Laboratory for Scientific Computing, Petrópolis, Brazil.
Sansuke M WatanabeUFRPE, Federal Rural University of Pernambuco, Garanhuns, Brazil.
Pablo J BlancoLNCC/MCTI, National Laboratory for Scientific Computing, Petrópolis, Brazil.
Bernard de BonoAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Peter J HunterAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational models of many aspects of the mammalian cardiovascular circulation have been developed. Indeed, along with orthopaedics, this area of physiology is one that has attracted much interest from engineers, presumably because the equations governing blood flow in the vascular system are well understood and can be solved with well-established numerical techniques. Unfortunately, there have been only a few attempts to create a comprehensive public domain resource for cardiovascular researchers. In this paper we propose a roadmap for developing an open source cardiovascular circulation model. The model should be registered to the musculo-skeletal system. The computational infrastructure for the cardiovascular model should provide for near real-time computation of blood flow and pressure in all parts of the body. The model should deal with vascular beds in all tissues, and the computational infrastructure for the model should provide links into CellML models of cell function and tissue function. In this work we review the literature associated with 1D blood flow modelling in the cardiovascular system, discuss model encoding standards, software and a model repository. We then describe the coordinate systems used to define the vascular geometry, derive the equations and discuss the implementation of these coupled equations in the open source computational software OpenCMISS. Finally, some preliminary results are presented and plans outlined for the next steps in the development of the model, the computational software and the graphical user interface for accessing the model.

Indexed as

Blood CirculationModels, CardiovascularCardiovascular Physiological PhenomenaHemodynamicsHumansSoftwarecardiovascularCellMLcirculation modelFieldMLphysiome projectvirtual physiological human (VPH)

Identifiers

PMID27506597
PMCPMC5134416

What OpenQuestion holds

Textmetadata
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.