Evidence mapPaperPMID 40829641Full record

ArticleJournal of the Royal Society, Interface2025

Sharun Kuhar, Jung Hee Seo, Rajat Mittal

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. 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

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.

  1. Journal of the Royal Society, Interface · 2025
    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.

Sharun KuharDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0001-9612-7994
Jung Hee SeoDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0001-5534-2508
Rajat MittalDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-8107-9499

Funding

Division of Chemical, Bioengineering, Environmental, and Transport Systems
6 · The paper itself

Abstract

In recent years, there has been growing interest in computational fluid dynamics models of the gastric phase of the digestion process. While several models address the digestion and emptying of liquid meals, none incorporate large solid food particles. This omission is significant, as a food bolus typically contains solid particles of varying sizes, with those exceeding 1-2 mm unable to pass through the pylorus. The current study integrates large spherical particles into an imaging-based stomach model to examine the action of hydrodynamic and contact forces on these particles. The model captures particle shuttling dynamics and quantifies the forces that drive trituration in a healthy and a hypomotile stomach at different viscosities of the surrounding liquid contents. The results show that the presence of solid foods can reduce the gastric emptying rate of liquids while also significantly influencing the flow inside the antrum. Hypomotile stomachs were ineffective in trapping the solids next to the pylorus, with many food particles never even making it to the terminal antrum, unlike the healthy case. The pressure, shear stresses and contact forces acting on the solid particles were also lower for the hypomotile case.

Indexed as

Computer SimulationDigestionFoodGastric EmptyingModels, BiologicalStomachHumansHydrodynamicscomputational fluid dynamicssolid food digestiontrituration

Identifiers

PMID40829641
PMCPMC12364583

What Socratic 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 Socratic graph.