Evidence map›Paper›PMID 41258037›Full record

ArticleDysphagia2026

Experimental and Computational Analysis of Bolus Fragmentation during Model Oropharyngeal Swallowing.

Steven McFarland, Dana M Leichter, Nicole Stark, Richard J Gilbert, Mark A Nicosia

Abstract read
PubMed Publisher
In one paragraph

Article in Dysphagia, 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

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. 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

5 authors.

Steven McFarlandDepartment of Mechanical Engineering, Widener University, Chester, PA, USA.
Dana M LeichterCenter for Biomedical Engineering, Brown University, Providence, RI, USA.
Nicole StarkDepartment of Mechanical Engineering, Widener University, Chester, PA, USA.
Richard J GilbertCenter for Biomedical Engineering, Brown University, Providence, RI, USA.
Mark A NicosiaDepartment of Mechanical Engineering, Widener University, Chester, PA, USA. manicosia@widener.edu.ORCID http://orcid.org/0000-0001-9046-2652

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fragmentation of the liquid bolus during swallowing may enhance the risk of airway exposure to the passing bolus and thereby increase vulnerability for aspiration. Our goal was to develop an experimental and a computational model that depicts how physical forces applied to a model bolus affect cohesion during simulated swallowing. A physical replica of the oral cavity was created through 3D printing to emulate the bolus-accommodating tongue within the oral cavity. The intent was to assess the effect of linear force applied to the bolus, similar to that of the deforming tongue during bolus propulsion through the acceleration and rapid deceleration of a pulley system, and to assess the ensuing degree of bolus fragmentation. Upon enaction of linear force applied to the contained bolus, a portion of the bolus characteristically fragmented and exited the device with measurable displacement velocity. Experimental and computational results demonstrated that the degree of bolus fragmentation increased as a function of bolus volume and velocity and decreased as a function of viscosity. We deduce that these physical attributes of the fluid bolus, when combined with the timing of laryngeal closure, pharyngeal peristalsis, and inspiratory air flow, contribute to an multi-component model of aspiration vulnerability during swallowing.

Indexed as

DeglutitionModels, BiologicalOropharynxBiomechanical PhenomenaComputer SimulationHumansPeristalsisPrinting, Three-DimensionalRespiratory AspirationTongueViscosityBolus flowComputational modelSwallowing function

Identifiers

What OpenQuestion holds

Textmetadata
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.