Evidence map›Paper›PMID 35082685›Full record

ArticleFrontiers in physiology2021

Computational Modeling of Drug Dissolution in the Human Stomach.

Jung Hee Seo, Rajat Mittal

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Journal of the Royal Society, Interface · 2025
    Article
  5. Journal of the Royal Society, Interface · 2024
    Article
  6. Gastric emptying performance of stomach-partitioning gastrojejunostomyFrontiers in bioengineering and biotechnology · 2023
    Article
  7. Article
  8. 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

2 authors at 1 institution in 1 country.

Jung Hee SeoDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States.
Rajat MittalDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, United States.
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

A computational model of drug dissolution in the human stomach is developed to investigate the interaction between gastric flow and orally administrated drug in the form of a solid tablet. The stomach model is derived from the anatomical imaging data and the motion and dissolution of the drug in the stomach are modeled via fluid-structure interaction combined with mass transport simulations. The effects of gastric motility and the associated fluid dynamics on the dissolution characteristics are investigated. Two different pill densities are considered to study the effects of the gastric flow as well as the gravitational force on the motion of the pill. The average mass transfer coefficient and the spatial distributions of the dissolved drug concentration are analyzed in detail. The results show that the retropulsive jet and recirculating flow in the antrum generated by the antral contraction wave play an important role in the motion of the pill as well as the transport and mixing of the dissolved drug concentration. It is also found that the gastric flow can increase the dissolution mass flux, especially when there is substantial relative motion between the gastric flow and the pill.

Indexed as

fluid-structure interactiongastric flowgastrointestinal tractimmersed boundary methodpill tracking

Identifiers

PMID35082685
PMCPMC8785969
OpenAlexW4205826090

What OpenQuestion 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 OpenQuestion graph.