Evidence map›Paper›PMID 29379448›Full record

ReviewFrontiers in physiology2017

Progress in Mathematical Modeling of Gastrointestinal Slow Wave Abnormalities.

Peng Du, Stefan Calder, Timothy R Angeli, Shameer Sathar, Niranchan Paskaranandavadivel, Gregory O'Grady, Leo K Cheng

Registry-linked trialAbstract readReview
In one paragraph

Review in Frontiers in physiology, 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 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Source localization for gastric electrical activity using simulated magnetogastrographic data.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2019
    Article
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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

7 authors.

Peng DuAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Stefan CalderAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Timothy R AngeliAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Shameer SatharAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Niranchan PaskaranandavadivelAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Gregory O'GradyAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
Leo K ChengAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.

Funding

Realistic models of gastrointestinal bioelectromagnetismR01DK064775 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CHENG, LEO · 2004 to 2014
$2.6M
NIDDK NIH HHS R01 DK064775
6 · The paper itself

Abstract

Gastrointestinal (GI) motility is regulated in part by electrophysiological events called slow waves, which are generated by the interstitial cells of Cajal (ICC). Slow waves propagate by a process of "entrainment," which occurs over a decreasing gradient of intrinsic frequencies in the antegrade direction across much of the GI tract. Abnormal initiation and conduction of slow waves have been demonstrated in, and linked to, a number of GI motility disorders. A range of mathematical models have been developed to study abnormal slow waves and applied to propose novel methods for non-invasive detection and therapy. This review provides a general outline of GI slow wave abnormalities and their recent classification using multi-electrode (high-resolution) mapping methods, with a particular emphasis on the spatial patterns of these abnormal activities. The recently-developed mathematical models are introduced in order of their biophysical scale from cellular to whole-organ levels. The modeling techniques, main findings from the simulations, and potential future directions arising from notable studies are discussed.

Indexed as

arrhythmiasElectrophysiologyGImulti-scale modelingslow wave

Identifiers

PMID29379448
PMCPMC5775268

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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.