Evidence map›Paper›PMID 28824458›Full record

ArticleFrontiers in physiology2017

Cellular Level

Gábor Závodszky, Britt van Rooij, Victor Azizi, Alfons Hoekstra

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.0field-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

34 citing papers in PubMed, 103 citations in OpenAlex.

  1. Article
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  3. Red Blood Cell Membrane Mechanics Using Discrete Exterior Calculus (DEC) and Optimization.International journal for numerical methods in biomedical engineering · 2026
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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

4 authors at 2 institutions in 3 countries.

Gábor ZávodszkyComputational Science Lab, Faculty of Science, Institute for Informatics, University of AmsterdamAmsterdam, Netherlands.
Britt van RooijComputational Science Lab, Faculty of Science, Institute for Informatics, University of AmsterdamAmsterdam, Netherlands.
Victor AziziComputational Science Lab, Faculty of Science, Institute for Informatics, University of AmsterdamAmsterdam, Netherlands.
Alfons HoekstraComputational Science Lab, Faculty of Science, Institute for Informatics, University of AmsterdamAmsterdam, Netherlands.
University of Amsterdam · NLBudapest University of Technology and Economics · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many of the intriguing properties of blood originate from its cellular nature. Therefore, accurate modeling of blood flow related phenomena requires a description of the dynamics at the level of individual cells. This, however, presents several computational challenges that can only be addressed by high performance computing. We present Hemocell, a parallel computing framework which implements validated mechanical models for red blood cells and is capable of reproducing the emergent transport characteristics of such a complex cellular system. It is computationally capable of handling large domain sizes, thus it is able to bridge the cell-based micro-scale and macroscopic domains. We introduce a new material model for resolving the mechanical responses of red blood cell membranes under various flow conditions and compare it with a well established model. Our new constitutive model has similar accuracy under relaxed flow conditions, however, it performs better for shear rates over 1,500

Indexed as

blood rheologycellular flowdense cell initializationhigh-performance computingRBC material model

Identifiers

PMID28824458
PMCPMC5539232
OpenAlexW2742164506

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.