Evidence map›Paper›PMID 27876369›Full record

ArticleJournal of biomechanics2017

Multi-component model of intramural hematoma.

Martina Bukač, Mark Alber

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

2 authors at 2 institutions in 1 country.

Martina BukačDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA. Electronic address: mbukac@nd.edu.
Mark AlberDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA; Department of Mathematics, University of California, Riverside, CA 92521, USA. Electronic address: malber@nd.edu.
Indiana University – Purdue University Indianapolis · USUniversity of Notre Dame · US

Funding

Multiscale modeling and empirical study of a mechanism limiting blood clot growthU01HL116330 · NHLBI · UNIVERSITY OF NOTRE DAME · PI ALBER, MARK · 2014 to 2018
$3.5M
NHLBI NIH HHS U01 HL116330
6 · The paper itself

Abstract

A novel multi-component model is introduced for studying interaction between blood flow and deforming aortic wall with intramural hematoma (IMH). The aortic wall is simulated by a composite structure submodel representing material properties of the three main wall layers. The IMH is described by a poroelasticity submodel which takes into account both the pressure inside hematoma and its deformation. The submodel of the hematoma is fully coupled with the aortic submodel as well as with the submodel of the pulsatile blood flow. Model simulations are used to investigate the relation between the peak wall stress, hematoma thickness and permeability in patients of different age. The results indicate that an increase in hematoma thickness leads to larger wall stress, which is in agreement with clinical data. Further simulations demonstrate that a hematoma with smaller permeability results in larger wall stress, suggesting that blood coagulation in hematoma might increase its mechanical stability. This is in agreement with previous experimental observations of coagulation having a beneficial effect on the condition of a patient with the IMH.

Indexed as

Models, CardiovascularAortaAortic DiseasesHematomaHumansFinite element modelFlexible wallIntramural hemorrhageMulti-component modelPoroelasticity

Identifiers

PMID27876369
PMCPMC5191919
OpenAlexW2556360034

What OpenQuestion 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 OpenQuestion graph.