Evidence map›Paper›PMID 38523716›Full record

ArticleComputer methods in applied mechanics and engineering2024

A Modular Framework for Implicit 3D-0D Coupling in Cardiac Mechanics.

Aaron L Brown, Matteo Salvador, Lei Shi, Martin R Pfaller, Zinan Hu, Kaitlin E Harold, Tzung Hsiai, Vijay Vedula, Alison L Marsden

Abstract read
In one paragraph

Article in Computer methods in applied mechanics and engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. InVAErt networks for amortized inference and identifiability analysis of lumped-parameter haemodynamic models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  8. 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

9 authors.

Aaron L BrownDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Matteo SalvadorInstitute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA.
Lei ShiDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.
Martin R PfallerInstitute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA.
Zinan HuDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Kaitlin E HaroldDepartment of Computer Science, Stanford University, Stanford, CA, USA.
Tzung HsiaiDepartment of Bioengineering, University of California Los Angeles, Los Angeles, CA, USA.
Vijay VedulaDepartment of Mechanical Engineering, Columbia University, New York, NY, USA.
Alison L MarsdenDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.

Funding

Shear Stress and Light-Sheets to Study Cardiac TrabeculationR01HL129727 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K, MARSDEN, ALISON L · 2015 to 2024
$3.5M
Intravascular Deployment of a Wirelessly Powered Micro-PacerR01HL149808 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Tzung K Hsiai · 2020 to 2026
$2.8M
A multi-physics simulator for pediatric cardiac surgical planningR01HL173845 · NHLBI · STANFORD UNIVERSITY · PI Daniel B Ennis, MICHAEL MA · 2024 to 2026
$2.3M
Integrating Volumetric Light-Field with Computational Fluid Dynamics to Study Myocardial Trabeculation and FunctionR01HL159970 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HSIAI, TZUNG K, MARSDEN, ALISON L · 2021 to 2024
$2.0M
Computational Stability Analysis to Predict Heart Failure after Myocardial InfarctionR00HL161313 · NHLBI · YALE UNIVERSITY · PI Martin R Pfaller · 2024 to 2026
$747k
Computational Stability Analysis to Predict Heart Failure after Myocardial InfarctionK99HL161313 · NHLBI · STANFORD UNIVERSITY · PI PFALLER, MARTIN R · 2022 to 2023
$324k
NHLBI NIH HHS K99 HL161313NHLBI NIH HHS R00 HL161313NHLBI NIH HHS R01 HL129727NHLBI NIH HHS R01 HL149808NHLBI NIH HHS R01 HL159970NHLBI NIH HHS R01 HL173845
6 · The paper itself

Abstract

In numerical simulations of cardiac mechanics, coupling the heart to a model of the circulatory system is essential for capturing physiological cardiac behavior. A popular and efficient technique is to use an electrical circuit analogy, known as a lumped parameter network or zero-dimensional (0D) fluid model, to represent blood flow throughout the cardiovascular system. Due to the strong

Indexed as

3D-0D couplingApproximate Newton Methodcardiac mechanicsCardiovascular modelingmulti-domain modeling

Identifiers

PMID38523716
PMCPMC10956732

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.