Evidence map›Paper›PMID 32726315›Full record

ArticlePloS one2020

A mathematical model to quantify the effects of platelet count, shear rate, and injury size on the initiation of blood coagulation under venous flow conditions.

Anass Bouchnita, Kirill Terekhov, Patrice Nony, Yuri Vassilevski, Vitaly Volpert

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 33 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. Modeling Fibrin Accumulation on Flow-Diverting Devices for Intracranial Aneurysms.International journal for numerical methods in biomedical engineering · 2024
    Article
  7. 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
  8. Review
  9. Toward modeling thrombosis and thromboembolism in laminar and turbulent flow regimes.International journal for numerical methods in biomedical engineering · 2022
    Article
  10. Review
  11. Patient-Specific Modelling of Blood Coagulation.Bulletin of mathematical biology · 2021
    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

5 authors at 4 institutions in 3 countries.

Anass BouchnitaEcole Centrale Casablanca, Casablanca, Morocco.ORCID 0000-0002-2729-6484
Kirill TerekhovMarchuk Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia.
Patrice NonyServices de Pharmacologie Clinique, Hospices Civils de Lyon, Lyon, France.
Yuri VassilevskiMarchuk Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia.
Vitaly VolpertMarchuk Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia.
Russian Academy of Sciences · RUEcole Centrale Casablanca · MAHospices Civils de Lyon · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Platelets upregulate the generation of thrombin and reinforce the fibrin clot which increases the incidence risk of venous thromboembolism (VTE). However, the role of platelets in the pathogenesis of venous cardiovascular diseases remains hard to quantify. An experimentally validated model of thrombin generation dynamics is formulated. The model predicts that a high platelet count increases the peak value of generated thrombin as well as the endogenous thrombin potential (ETP) as reported in experimental data. To investigate the effects of platelets density, shear rate, and wound size on the initiation of blood coagulation, we calibrate a previously developed model of venous thrombus formation and implement it in 3D using a novel cell-centered finite-volume solver. We conduct numerical simulations to reproduce in vitro experiments of blood coagulation in microfluidic capillaries. Then, we derive a reduced one-equation model of thrombin distribution from the previous model under simplifying hypotheses and we use it to determine the conditions of clotting initiation on the platelet count, the shear rate, and the plasma composition. The initiation of clotting also exhibits a threshold response to the size of the wounded region in good agreement with the reported experimental findings.

Indexed as

Models, TheoreticalBlood CoagulationBlood Coagulation TestsBlood PlateletsFibrinHumansPlatelet AggregationPlatelet CountRegional Blood FlowShear StrengthThrombinThromboplastinThrombosisVeinsFibrinThrombinThromboplastin

Identifiers

PMID32726315
PMCPMC7390270
OpenAlexW3045958193

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.