Evidence map›Paper›PMID 32675836›Full record

ArticleComputer methods in applied mechanics and engineering2020

The nested block preconditioning technique for the incompressible Navier-Stokes equations with emphasis on hemodynamic simulations.

Ju Liu, Weiguang Yang, Melody Dong, Alison L Marsden

Abstract read
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In one paragraph

Article in Computer methods in applied mechanics and engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Ju LiuDepartment of Pediatrics (Cardiology), Department of Bioengineering, and Institute for Computational and Mathematical Engineering, Stanford University, Clark Center E1.3, 318 Campus Drive, Stanford, CA 94305, USA.
Weiguang YangDepartment of Pediatrics (Cardiology), Department of Bioengineering, and Institute for Computational and Mathematical Engineering, Stanford University, Clark Center E1.3, 318 Campus Drive, Stanford, CA 94305, USA.
Melody DongDepartment of Pediatrics (Cardiology), Department of Bioengineering, and Institute for Computational and Mathematical Engineering, Stanford University, Clark Center E1.3, 318 Campus Drive, Stanford, CA 94305, USA.
Alison L MarsdenDepartment of Pediatrics (Cardiology), Department of Bioengineering, and Institute for Computational and Mathematical Engineering, Stanford University, Clark Center E1.3, 318 Campus Drive, Stanford, CA 94305, USA.

Funding

Improving Tissue Engineered Vascular Graft Performance via Computational ModelingR01HL139796 · NHLBI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI BREUER, CHRISTOPHER KANE, HUMPHREY, JAY D. · 2018 to 2025
$6.4M
The Cardiac Atlas ProjectR01HL121754 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D., OMENS, JEFFREY H. · 2014 to 2023
$5.0M
Multiscale modeling for vein graft failure risk stratification in CABG patientsR01HL123689 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARSDEN, ALISON L · 2014 to 2018
$1.9M
Enabling reliable cardiovascular simulations via uncertainty quantificationR01EB018302 · NIBIB · STANFORD UNIVERSITY · PI MARSDEN, ALISON L · 2016 to 2019
$1.7M
NHLBI NIH HHS R01 HL121754NHLBI NIH HHS R01 HL123689NHLBI NIH HHS R01 HL139796NIBIB NIH HHS R01 EB018302
6 · The paper itself

Abstract

We develop a novel iterative solution method for the incompressible Navier-Stokes equations with boundary conditions coupled with reduced models. The iterative algorithm is designed based on the variational multiscale formulation and the generalized-

Indexed as

Geometric multiscale modelingHemodynamicsNested block preconditionerPatient-specific modelSaddle-point problemVariational multiscale method

Identifiers

PMID32675836
PMCPMC7365595

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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.