Computational Fluid Dynamics (CFD)-Based Optimization of Injection Process during Endoscopic Mucosal Therapy.

Mohamad Aghaie Meybodi, Rohit Saini, Amirfarhang Mehdizadeh, Reza Hejazi

Open access · goldAbstract read

In one paragraph

Article in Bioengineering (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact, top 78% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Mohamad Aghaie MeybodiDivision of Gastroenterology, Department of Internal Medicine, Kansas University Medical Center, Kansas City, KS 66160, USA.ORCID 0000-0002-5321-688X

Rohit SainiSchool of Computing and Engineering, Civil and Mechanical Engineering Department, University of Missouri Kansas City, Kansas City, MO 64110, USA.

Amirfarhang MehdizadehSchool of Computing and Engineering, Civil and Mechanical Engineering Department, University of Missouri Kansas City, Kansas City, MO 64110, USA.

Reza HejaziDivision of Gastroenterology, Department of Internal Medicine, Kansas University Medical Center, Kansas City, KS 66160, USA.ORCID 0000-0003-2469-1419

University Medical Center · USUniversity of Missouri–Kansas City · US

Funding

UNIV OF KS MED CTR RESEARCH INST, INC GRANTS - CME PCS 2200

6 · The paper itself

Abstract

Creation of a submucosal plane to separate the lesion from the deeper muscle layer in gastrointestinal tract is an integral and essential part of endoscopic resection therapies such as endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD). Thereby, an optimized submucosal injection technique is required to ensure a successful process. In this study, the computational fluid dynamics (CFD) technique is employed as a foundational step towards the development of a framework that can provide useful directions to optimize the injection process. Three different lifting agents, including Glycerol, Eleview

Indexed as

computational fluid dynamicsendoscopic mucosal therapyinjection dynamicslifting characteristics

Identifiers

PMID33120970

DOI10.3390/bioengineering7040136

PMCPMC7711458

OpenAlexW3095423116

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.