Evidence map›Paper›PMID 28095402›Full record

ArticlePLoS computational biology2017

A General Shear-Dependent Model for Thrombus Formation.

Alireza Yazdani, He Li, Jay D Humphrey, George Em Karniadakis

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 132 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Computational Modeling of Pro-inflammatory Cytokine-Enhanced Blood Coagulation.Computational and structural biotechnology journal · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Coagulo-Net: Enhancing the mathematical modeling of blood coagulation using physics-informed neural networks.Neural networks : the official journal of the International Neural Network Society · 2024
    Article
  12. Modeling Fibrin Accumulation on Flow-Diverting Devices for Intracranial Aneurysms.International journal for numerical methods in biomedical engineering · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. A 1D-3D Hybrid Model of Patient-Specific Coronary Hemodynamics.Cardiovascular engineering and technology · 2022
    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 at 2 institutions in 1 country.

Alireza YazdaniDivision of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America.ORCID 0000-0002-0139-2080
He LiDivision of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America.
Jay D HumphreyDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut, United States of America.
George Em KarniadakisDivision of Applied Mathematics, Brown University, Providence, Rhode Island, United States of America.ORCID 0000-0002-9713-7120
Brown University · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Multiscale, Multiphysics Model of Thrombus Biomechanics in Aortic DissectionU01HL116323 · NHLBI · YALE UNIVERSITY · PI HUMPHREY, JAY D., KARNIADAKIS, GEORGE · 2013 to 2017
$2.4M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS U01 HL116323
6 · The paper itself

Abstract

Modeling the transport, activation, and adhesion of platelets is crucial in predicting thrombus formation and growth following a thrombotic event in normal or pathological conditions. We propose a shear-dependent platelet adhesive model based on the Morse potential that is calibrated by existing in vivo and in vitro experimental data and can be used over a wide range of flow shear rates ([Formula: see text]). We introduce an Eulerian-Lagrangian model where hemodynamics is solved on a fixed Eulerian grid, while platelets are tracked using a Lagrangian framework. A force coupling method is introduced for bidirectional coupling of platelet motion with blood flow. Further, we couple the calibrated platelet aggregation model with a tissue-factor/contact pathway coagulation cascade, representing the relevant biology of thrombin generation and the subsequent fibrin deposition. The range of shear rates covered by the proposed model encompass venous and arterial thrombosis, ranging from low-shear-rate conditions in abdominal aortic aneurysms and thoracic aortic dissections to thrombosis in stenotic arteries following plaque rupture, where local shear rates are extremely high.

Indexed as

Models, CardiovascularAnimalsBlood CoagulationBlood Flow VelocityBlood PressureComputer SimulationHumansPlatelet AdhesivenessPlatelet AggregationThrombosis

Identifiers

PMID28095402
PMCPMC5240924
OpenAlexW2573635522

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.