Evidence map›Paper›PMID 37009195›Full record

ArticleThe Yale journal of biology and medicine2023

Mathematical Analysis for the Flow of Sickle Red Blood Cells in Microvessels for Bio Medical Application.

Purnima Chaturvedi, Sapna Ratan Shah

Open access · diamondAbstract read
In one paragraph

Article in The Yale journal of biology and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
8.9field-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

1 citing paper in PubMed, 31 citations in OpenAlex.

  1. Mathematical modeling of SCD: a literature review.Journal of sickle cell disease · 2025
    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

2 authors at 1 institution in 1 country.

Purnima ChaturvediBio Mathematical Lab, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.
Sapna Ratan ShahBio Mathematical Lab, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India.
Jawaharlal Nehru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sickle cell disease (SCD) is an inherited monogenic disease which is characterized by distorted red blood cells (RBCs) that cause vaso-occlusion and vasculopathy. In the pathogenesis of SCD, polymerized hemoglobin turn RBCs into fragile, less deformable cells, and are subsequently more susceptible to endothelial adhesion after deoxygenation. Presently, electrophoresis and genotyping are used as routine tests for diagnosis of SCD. These techniques are expensive and require specialized laboratories. Lab-on-a-chip technology is a low-cost microfluidics-based diagnostic tool which holds significant promise for rapid screening of RBC deformability. To explore the sickle RBC mechanics for screening purposes, we present a mathematical model for the flow of single RBC with altered rheological properties and slip effect on capillary wall in microcirculation. We consider single-file flow of cells through the axis symmetrical cylindrical duct, applying lubrication theory as plasma trapped between successive red blood cells. The rheological parameters used from published literature for normal RBC and corresponding variation has been taken for the purpose of this simulation to present the condition of the disease. An analytical solution has been found for realistic boundary conditions and results are simulated using MATLAB. We found that the height of plasma film in the capillary increases with increase in cell deformability and compliance which affects the forward flow velocity in the capillary. Rigid RBCs with increased adhesion between cell and capillary wall shows reduction in velocity and occurrence of vaso-occlusion events in extreme conditions. These rheological properties of the cells coupled with microfluidics mechanics can mimic the physiological condition and provides unique insights with novel possibilities for the design of microfluidics base diagnostic kit towards effective therapeutic intervention of SCD.

Indexed as

Anemia, Sickle CellErythrocytesComputer SimulationHumansMicrofluidicsMicrovesselsBio-Medical EngineeringLab-on-a-chipMathematical ModelMicrocirculationMicrofluidicsRed Blood CellSickle Cell Disease

Identifiers

PMID37009195
PMCPMC10052596
OpenAlexW4362466738

What OpenQuestion holds

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LicenceCC BY-NC
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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.