Evidence map›Paper›PMID 27305668›Full record

ArticleIEEE transactions on bio-medical engineering2017

High-Resolution Electrogastrogram: A Novel, Noninvasive Method for Determining Gastric Slow-Wave Direction and Speed.

Armen A Gharibans, Sanggyun Kim, David Kunkel, Todd P Coleman

Registry-linked trialAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05789511 (High Resolution Electrogastrography), which is not on this map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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.

NCT05789511 unknown statusnot on this mapstarted 2022, after this paper: background citation

High Resolution Electrogastrography (HR-EGG) Assessment in Medically Refractory Gastroparesis

TypeobservationalSponsorUniversity of VirginiaRan2022 to 2025Enrolled40ConditionsGastroparesis, Lung Transplant, ComplicationsArmsHigh Resolution Electrogastography
3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

  1. Review
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  5. Review
  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. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Multichannel magnetogastrogram: a clinical marker for pediatric chronic nausea.American journal of physiology. Gastrointestinal and liver physiology · 2022
    Article
  19. Article
  20. 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

4 authors.

Armen A Gharibans
Sanggyun Kim
David Kunkel
Todd P Coleman

Funding

Integrative Bioengineering of Heart, Vessels, and BloodT32HL105373 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, INTAGLIETTA, MARCOS · 2010 to 2019
$3.6M
NHLBI NIH HHS T32 HL105373
6 · The paper itself

Abstract

Despite its simplicity and noninvasiveness, the use of the electrogastrogram (EGG) remains limited in clinical practice for assessing gastric disorders. Recent studies have characterized the occurrence of spatial gastric myoelectric abnormalities that are ignored by typical approaches relying on time-frequency analysis of single channels. In this paper we present the highresolution (HR) EGG, which utilizes an array of electrodes to estimate the direction and speed of gastric slow-waves. The approach was verified on a forward electrophysiology model of the stomach, demonstrating that an accurate assessment of slow-wave propagation can be made. Furthermore, we tested the methodology on eight healthy adults and calculated propagation directions (181 ± 29 degrees) and speeds (3.7 ± 0.5 mm/s) that are consistent with serosal recordings of slow-waves described in the literature. By overcoming the limitations of current methods, HR-EGG is a fully automated tool that may unveil new classes of gastric abnormalities. This could lead to a better diagnosis of diseases and inspire novel drugs and therapies, ultimately improving clinical outcomes.

Identifiers

PMID27305668
PMCPMC5474202

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Registered trials

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.