Evidence map›Paper›PMID 27935265›Full record

ArticleInternational journal for numerical methods in biomedical engineering2017

Modelling mitral valvular dynamics-current trend and future directions.

Hao Gao, Nan Qi, Liuyang Feng, Xingshuang Ma, Mark Danton, Colin Berry, Xiaoyu Luo

Abstract read
In one paragraph

Article in International journal for numerical methods in biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Clinical Impact of Computational Heart Valve Models.Materials (Basel, Switzerland) · 2022
    Review
  6. Article
  7. Review
  8. A poroelastic immersed finite element framework for modelling cardiac perfusion and fluid-structure interaction.International journal for numerical methods in biomedical engineering · 2021
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Modelling mitral valvular dynamics-current trend and future directions.International journal for numerical methods in biomedical engineering · 2017
    Article
  15. Article
  16. 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

7 authors.

Hao GaoSchool of Mathematics and Statistics, University of Glasgow, UK.ORCID 0000-0001-6852-9435
Nan QiSchool of Mathematics and Statistics, University of Glasgow, UK.
Liuyang FengSchool of Mathematics and Statistics, University of Glasgow, UK.
Xingshuang MaBioengineering College, Chongqing University, China.
Mark DantonDepartment of Cardiac Surgery, Royal Hospital for Children, Glasgow, UK.
Colin BerryInstitute of Cardiovascular and Medical Sciences, University of Glasgow, UK.
Xiaoyu LuoSchool of Mathematics and Statistics, University of Glasgow, UK.ORCID 0000-0002-8753-4210

Funding

British Heart Foundation FS/15/54/31639British Heart Foundation PG/14/64/31043Medical Research Council MR/N003403/1
6 · The paper itself

Abstract

Dysfunction of mitral valve causes morbidity and premature mortality and remains a leading medical problem worldwide. Computational modelling aims to understand the biomechanics of human mitral valve and could lead to the development of new treatment, prevention and diagnosis of mitral valve diseases. Compared with the aortic valve, the mitral valve has been much less studied owing to its highly complex structure and strong interaction with the blood flow and the ventricles. However, the interest in mitral valve modelling is growing, and the sophistication level is increasing with the advanced development of computational technology and imaging tools. This review summarises the state-of-the-art modelling of the mitral valve, including static and dynamics models, models with fluid-structure interaction, and models with the left ventricle interaction. Challenges and future directions are also discussed.

Indexed as

Models, CardiovascularAnimalsEchocardiographyHemodynamicsMagnetic Resonance Imaging, CineMitral ValveSwineTomography, X-Ray Computedfluid-structure interactionleft ventriclemitral valvenumerical methodssoft tissue

Identifiers

PMID27935265
PMCPMC5697636

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Registered trials

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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.