Evidence map›Paper›PMID 42653070›Full record

ArticleLife (Basel, Switzerland)2026

Impact of Red Blood Cell Deformability and Local Hematocrit on Microvascular Flow Resistance: Insights from In Vitro Microfluidic Measurements and Viscosity Modeling.

Efstathios Kaliviotis, Pavlos Stephanou, Stavroula Balabani

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2026. 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
–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

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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.

  1. 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

3 authors.

Efstathios KaliviotisDepartment of Mechanical Engineering and Materials Science and Engineering, Cyprus University of Technology, Limassol 3036, Cyprus.ORCID 0000-0003-4149-4396
Pavlos StephanouDepartment of Chemical Engineering, Cyprus University of Technology, Limassol 3036, Cyprus.ORCID 0000-0003-3182-0581
Stavroula BalabaniDepartment of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, UK.ORCID 0000-0002-6287-1106

Funding

Engineering and Physical Sciences Research Council EP/R513143/1, A.S.Research and Innovation Foundation SMALL SCALE INFRASTRUCTURES/1222/0181University College London Doctoral Training Programme in Medical Device Innovation (A.P.).
6 · The paper itself

Abstract

Altered red blood cell (RBC) deformability can impact microvascular flow resistance through changes in cell partitioning at bifurcations, and local hematocrit distribution, a key determinant of the effective viscosity of blood. In this work we report on resistance-relevant viscosity distributions extracted from in vitro microfluidic observations of a Y-junction type blood flow. Spatially resolved hematocrit distributions in the parent channel and daughter branches, determined by experimental measurements in earlier work, for healthy and stiffened RBC suspensions over a range of daughter to parent flow-split ratios, Q*, are combined with a recently proposed viscosity model enabling the estimation of the local relative viscosity profiles ηr. The maximum of the RBC elongation index EI, was utilized to define of the deformability parameter λ, which with the local RBC volume fraction, Φ(y), were used as inputs in the relative viscosity, ηr. The latter is a modified Krieger-Dougherty viscosity expression, accounting explicitly for deformability and RBC concentration. The resulting viscosity profiles are averaged in the channel regions of interest to provide an apparent viscosity in the branches, used here as an indicator of microvascular flow resistance. The results illustrate that deformability and hematocrit-dependent RBC enrichment or depletion in the branches of a vascular junction may amplify or attenuate the resistance asymmetry in the daughters of the Y-junction.

Indexed as

blood rheology modellingRBC concentration and deformabilityY-type microchannel blood flow

Identifiers

PMID42653070
PMCPMC13514905

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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.