Evidence map›Paper›PMID 39338617›Full record

ReviewSensors (Basel, Switzerland)2024

A Synergistic Overview between Microfluidics and Numerical Research for Vascular Flow and Pathological Investigations.

Ahmed Abrar Shayor, Md Emamul Kabir, Md Sartaj Ahamed Rifath, Adib Bin Rashid, Kwang W Oh

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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.

Ahmed Abrar ShayorDepartment of Mechanical Engineering, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh.ORCID 0009-0004-5464-9961
Md Emamul KabirDepartment of Mechanical Engineering, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh.ORCID 0009-0006-4001-8960
Md Sartaj Ahamed RifathDepartment of Mechanical Engineering, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh.
Adib Bin RashidDepartment of Industrial and Production Engineering, Military Institute of Science and Technology, Dhaka 1216, Bangladesh.ORCID 0000-0002-0681-7383
Kwang W OhSensors and MicroActuators Learning Lab (SMALL), Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, NY 14260, USA.ORCID 0000-0003-0078-6683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular diseases are widespread, and sometimes such life-threatening medical disorders cause abnormal blood flow, blood particle damage, changes to flow dynamics, restricted blood flow, and other adverse effects. The study of vascular flow is crucial in clinical practice because it can shed light on the causes of stenosis, aneurysm, blood cancer, and many other such diseases, and guide the development of novel treatments and interventions. Microfluidics and computational fluid dynamics (CFDs) are two of the most promising new tools for investigating these phenomena. When compared to conventional experimental methods, microfluidics offers many benefits, including lower costs, smaller sample quantities, and increased control over fluid flow and parameters. In this paper, we address the strengths and weaknesses of computational and experimental approaches utilizing microfluidic devices to investigate the rheological properties of blood, the forces of action causing diseases related to cardiology, provide an overview of the models and methodologies of experiments, and the fabrication of devices utilized in these types of research, and portray the results achieved and their applications. We also discuss how these results can inform clinical practice and where future research should go. Overall, it provides insights into why a combination of both CFDs, and experimental methods can give even more detailed information on disease mechanisms recreated on a microfluidic platform, replicating the original biological system and aiding in developing the device or chip itself.

Indexed as

MicrofluidicsComputer SimulationHumansHydrodynamicsLab-On-A-Chip DevicesVascular Diseasesblood flow analysiscomputational fluid dynamics (CFDs)device fabricationhematological diseasemicrofluidicsvascular flow

Identifiers

PMID39338617
PMCPMC11435959

What OpenQuestion holds

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LicenceCC BY
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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.