Evidence map›Paper›PMID 40673046›Full record

ArticleMultiscale modeling & simulation : a SIAM interdisciplinary journal2025

ANALYSIS OF A MULTISCALE INTERFACE PROBLEM BASED ON THE COUPLING OF PARTIAL AND ORDINARY DIFFERENTIAL EQUATIONS TO MODEL TISSUE PERFUSION.

Lorena Bociu, Matthew Broussard, Giovanna Guidoboni, Sarah Strikwerda

Abstract read
In one paragraph

Article in Multiscale modeling & simulation : a SIAM interdisciplinary journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Comparing Interface Conditions for a 3D-0D Multiscale Interface Coupling With Applications in Tissue Perfusion.International journal for numerical methods in biomedical engineering · 2025
    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

4 authors.

Lorena BociuDepartment of Mathematics, NC State University, NC.
Matthew BroussardDepartment of Mathematics, NC State University, NC.
Giovanna GuidoboniMaine College of Engineering and Computing, University of Maine, ME.
Sarah StrikwerdaDepartment of Mathematics, University of Pennsylvania, PA.

Funding

SCH: SEEthroughGLAUCOMA: Smart Eye Emulator (SEE) to study glaucoma risk factorsR01EY034718 · NEI · UNIVERSITY OF MAINE ORONO · PI GUIDOBONI, GIOVANNA, HARRIS, ALON · 2022 to 2025
$975k
NEI NIH HHS R01 EY034718
6 · The paper itself

Abstract

In biomechanics, local phenomena, such as tissue perfusion, are strictly related to the global features of the surrounding blood circulation. In this paper, we propose a heterogeneous model where a local, accurate, 3D description of tissue perfusion by means of fluid flows through deformable porous media equations is coupled with a systemic, 0D, lumped model of the remainder of the circulation, where the fluid flow through a vascular network is described via its analog with a current flowing through an electric circuit. This represents a multiscale strategy, which couples an initial boundary value problem to be used in a specific tissue region with an initial value problem in the surrounding circulatory system. This PDE/ODE coupling leads to interface conditions enforcing the continuity of mass and the balance of stresses across models at different scales, and careful consideration is taken to address this interface mismatch. The resulting system involves PDEs of mixed type with interface conditions depending on nonlinear ODEs. A new result on local existence of solutions for this multiscale interface coupling is provided in this article.

Indexed as

35M1335Q3576S0576Z05fluid flow through deformable porous medialocal existenceMultiscale interface problemtissue perfusion

Identifiers

PMID40673046
PMCPMC12263116

What OpenQuestion holds

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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.