Evidence map›Paper›PMID 31751883›Full record

ReviewComputational biology and chemistry2019

Recent advances in computational modeling of fibrin clot formation: A review.

Sumith Yesudasan, Rodney D Averett

Abstract readReview
In one paragraph

Review in Computational biology and chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

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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

2 authors.

Sumith YesudasanSchool of Chemical, Materials and Biomedical Engineering, University of Georgia, 597 D.W. Brooks Drive, Athens, GA 30602.
Rodney D AverettSchool of Chemical, Materials and Biomedical Engineering, University of Georgia, 597 D.W. Brooks Drive, Athens, GA 30602. Electronic address: raverett@uga.edu.

Funding

Effects of Diabetes on the Multiscale Mechanical Behavior of Clot StructuresK01HL115486 · NHLBI · UNIVERSITY OF GEORGIA · PI AVERETT, RODNEY D · 2012 to 2016
$697k
NHLBI NIH HHS K01 HL115486
6 · The paper itself

Abstract

The field of thrombosis and hemostasis is crucial for understanding and developing new therapies for pathologies such as deep vein thrombosis, diabetes related strokes, pulmonary embolisms, and hemorrhaging related diseases. In the last two decades, an exponential growth in studies related to fibrin clot formation using computational tools has been observed. Despite this growth, the complete mechanism behind thrombus formation and hemostasis has been long and rife with obstacles; however, significant progress has been made in the present century. The computational models and methods used in this context are diversified into different spatiotemporal scales, yet there is no single model which can predict both physiological and mechanical properties of fibrin clots. In this review, we list the major strategies employed by researchers in modeling fibrin clot formation using recent and existing computational techniques. This review organizes the computational strategies into continuum level, system level, discrete particle (DPD), and multi-scale methods. We also discuss strengths and weaknesses of various methods and future directions in which computational modeling of fibrin clots can advance.

Indexed as

Computer SimulationFibrinHemostasisHumansThrombosisFibrinFibrin clot modelingHemostasisMechanicsMultiscale modelingThrombosis

Identifiers

PMID31751883
PMCPMC6918949

What OpenQuestion holds

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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.