Evidence map›Paper›PMID 25844149›Full record

ReviewInterface focus2015

Applications of computational models to better understand microvascular remodelling: a focus on biomechanical integration across scales.

Walter L Murfee, Richard S Sweat, Ken-Ichi Tsubota, Feilim Mac Gabhann, Damir Khismatullin, Shayn M Peirce

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Interface focus, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Microvascular bioengineering: a focus on pericytes.Journal of biological engineering · 2019
    Review
  7. 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

6 authors at 4 institutions in 2 countries.

Walter L MurfeeDepartment of Biomedical Engineering , Tulane University , 500 Lindy Boggs Energy Center, New Orleans, LA 70118 , USA.
Richard S SweatDepartment of Biomedical Engineering , Tulane University , 500 Lindy Boggs Energy Center, New Orleans, LA 70118 , USA.
Ken-Ichi TsubotaDepartment of Mechanical Engineering , Chiba University , 1-33 Yayoi, Inage, Chiba 263-8522 , Japan.
Feilim Mac GabhannDepartment of Biomedical Engineering , Johns Hopkins University , 3400 North Charles Street, Baltimore, MD 21218 , USA ; Department of Materials Science and Engineering , Johns Hopkins University , 3400 North Charles Street, Baltimore, MD 21218 , USA ; Institute for Computational Medicine , Johns Hopkins University , 3400 North Charles Street, Baltimore, MD 21218 , USA.
Damir KhismatullinDepartment of Biomedical Engineering , Tulane University , 500 Lindy Boggs Energy Center, New Orleans, LA 70118 , USA.
Shayn M PeirceDepartment of Biomedical Engineering , University of Virginia , 415 Lane Road, Charlottesville, VA 22903 , USA.
Tulane University · USChiba University · JPJohns Hopkins University · USUniversity of Virginia · US

Funding

The role of the CMV-associated reactive oxygen species in age-relatedP20GM103629 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI ROUT, NAMITA · 2012 to 2021
$22.4M
NIGMS NIH HHS P20 GM103629
6 · The paper itself

Abstract

Microvascular network remodelling is a common denominator for multiple pathologies and involves both angiogenesis, defined as the sprouting of new capillaries, and network patterning associated with the organization and connectivity of existing vessels. Much of what we know about microvascular remodelling at the network, cellular and molecular scales has been derived from reductionist biological experiments, yet what happens when the experiments provide incomplete (or only qualitative) information? This review will emphasize the value of applying computational approaches to advance our understanding of the underlying mechanisms and effects of microvascular remodelling. Examples of individual computational models applied to each of the scales will highlight the potential of answering specific questions that cannot be answered using typical biological experimentation alone. Looking into the future, we will also identify the needs and challenges associated with integrating computational models across scales.

Indexed as

agent-based modelangiogenesiscomputational fluid dynamicshypertensionmicrocirculationmultiscale computational model

Identifiers

PMID25844149
PMCPMC4342945
OpenAlexW2009549332

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.