Evidence map›Paper›PMID 36407285›Full record

ArticlePhysics of fluids (Woodbury, N.Y. : 1994)2022

Effect of stomach motility on food hydrolysis and gastric emptying: Insight from computational models.

Sharun Kuhar, Jae Ho Lee, Jung-Hee Seo, Pankaj J Pasricha, Rajat Mittal

Open access · greenAbstract read
In one paragraph

Article in Physics of fluids (Woodbury, N.Y. : 1994), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Journal of the Royal Society, Interface · 2025
    Article
  3. Review
  4. Review
  5. Article
  6. Surface mapping of gastric motor functions using MRI: a comparative study between humans and rats.American journal of physiology. Gastrointestinal and liver physiology · 2024
    Article
  7. Journal of the Royal Society, Interface · 2024
    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 at 1 institution in 1 country.

Sharun KuharDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA.ORCID https://orcid.org/0000-0001-9612-7994
Pankaj J PasrichaDivision of Gastroenterology and Hepatology, Johns Hopkins School of Medicine, Baltimore, Maryland 21205, USA.
Johns Hopkins University · US

Funding

StomachSim - A Biomimetic In-Silico Simulator Based Research Tool for Studying Drug Dissolution in the StomachR21GM139073 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI MITTAL, RAJAT · 2020 to 2021
$442k
NIGMS NIH HHS R21 GM139073
6 · The paper itself

Abstract

The peristaltic motion of stomach walls combines with the secretion of digestive enzymes to initiate the process that breaks down food. In this study, the mixing, breakdown, and emptying of a liquid meal containing protein is simulated in a model of a human stomach. In this model, pepsin, the gastric enzyme responsible for protein hydrolysis, is secreted from the proximal region of the stomach walls and allowed to react with the contents of the stomach. The velocities of the retropulsive jet induced by the peristaltic motion, the emptying rate, and the extent of hydrolysis are quantified for a control case as well as for three other cases with reduced motility of the stomach, which may result from conditions such as diabetes mellitus. This study quantifies the effect of stomach motility on the rate of food breakdown and its emptying into the duodenum and we correlate these observations with the mixing in the stomach induced by the wall motion.

Identifiers

PMID36407285
PMCPMC9667910
OpenAlexW4306318427

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.