Evidence map›Paper›PMID 38510845›Full record

ReviewBiophysics reviews2023

Current progress toward isogeometric modeling of the heart biophysics.

Michele Torre, Simone Morganti, Francesco S Pasqualini, Alessandro Reali

Abstract readReview
In one paragraph

Review in Biophysics reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Michele TorreDepartment of Civil Engineering and Architecture, University of Pavia, Via Ferrata 3, 27100 Pavia, Italy.ORCID https://orcid.org/0000-0002-4304-6426
Simone MorgantiDepartment of Electrical, Computer, and Biomedical Engineering, University of Pavia, Via Ferrata 5, 27100 Pavia, Italy.ORCID https://orcid.org/0000-0003-0116-9118
Francesco S PasqualiniDepartment of Civil Engineering and Architecture, University of Pavia, Via Ferrata 3, 27100 Pavia, Italy.ORCID https://orcid.org/0000-0001-7038-3121
Alessandro RealiDepartment of Civil Engineering and Architecture, University of Pavia, Via Ferrata 3, 27100 Pavia, Italy.ORCID https://orcid.org/0000-0002-0639-7067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we review a powerful methodology to solve complex numerical simulations, known as isogeometric analysis, with a focus on applications to the biophysical modeling of the heart. We focus on the hemodynamics, modeling of the valves, cardiac tissue mechanics, and on the simulation of medical devices and treatments. For every topic, we provide an overview of the methods employed to solve the specific numerical issue entailed by the simulation. We try to cover the complete process, starting from the creation of the geometrical model up to the analysis and post-processing, highlighting the advantages and disadvantages of the methodology.

Identifiers

PMID38510845
PMCPMC10903424

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.