Evidence map›Paper›PMID 29142014›Full record

ArticleJournal of the Royal Society, Interface2017

Model predictions of deformation, embolization and permeability of partially obstructive blood clots under variable shear flow.

Shixin Xu, Zhiliang Xu, Oleg V Kim, Rustem I Litvinov, John W Weisel, Mark Alber

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 82 citations in OpenAlex.

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  12. A computational investigation of occlusive arterial thrombosis.Biomechanics and modeling in mechanobiology · 2024
    Article
  13. Article
  14. Decoding thrombosis through code: a review of computational models.Journal of thrombosis and haemostasis : JTH · 2024
    Review
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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.

Shixin XuDepartment of Mathematics, Division of Clinical Sciences, School of Medicine, University of California, Riverside, CA 92521, USA.
Zhiliang XuDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA.
Oleg V KimDepartment of Mathematics, Division of Clinical Sciences, School of Medicine, University of California, Riverside, CA 92521, USA.
Rustem I LitvinovDepartment of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
John W WeiselDepartment of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA weisel@pennmedicine.upenn.edu.
Mark AlberDepartment of Mathematics, Division of Clinical Sciences, School of Medicine, University of California, Riverside, CA 92521, USA malber@nd.edu.ORCID 0000-0002-7153-1138
University of California, Riverside · USKazan Federal University · RUUniversity of Notre Dame · USUniversity of Pennsylvania · 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

Thromboembolism, one of the leading causes of morbidity and mortality worldwide, is characterized by formation of obstructive intravascular clots (thrombi) and their mechanical breakage (embolization). A novel two-dimensional multi-phase computational model is introduced that describes active interactions between the main components of the clot, including platelets and fibrin, to study the impact of various physiologically relevant blood shear flow conditions on deformation and embolization of a partially obstructive clot with variable permeability. Simulations provide new insights into mechanisms underlying clot stability and embolization that cannot be studied experimentally at this time. In particular, model simulations, calibrated using experimental intravital imaging of an established arteriolar clot, show that flow-induced changes in size, shape and internal structure of the clot are largely determined by two shear-dependent mechanisms: reversible attachment of platelets to the exterior of the clot and removal of large clot pieces. Model simulations predict that blood clots with higher permeability are more prone to embolization with enhanced disintegration under increasing shear rate. In contrast, less permeable clots are more resistant to rupture due to shear rate-dependent clot stiffening originating from enhanced platelet adhesion and aggregation. These results can be used in future to predict risk of thromboembolism based on the data about composition, permeability and deformability of a clot under specific local haemodynamic conditions.

Indexed as

Models, CardiovascularShear StrengthHumansPermeabilityThromboembolismThrombosisblood shearmulti-phase modelmulti-scalethromboembolismthrombosis

Identifiers

PMID29142014
PMCPMC5721151
OpenAlexW2769324061

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.