ArticlePhysiological measurement2014
Effects of body mass index on gastric slow wave: a magnetogastrographic study.
Article in Physiological measurement, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03176927 (Biomagnetic Characterization of Gastric Dysrhythmias III), which is not on this map. Cited by 5 papers.
What it found
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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.
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.
Biomagnetic Characterization of Gastric Dysrhythmias III
Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- Characterizing Spatial Signatures of Gastric Electrical Activity Using Biomagnetic Source Localization.IEEE transactions on bio-medical engineering · 2022Article
- Clinical application and research progress of extracellular slow wave recording in the gastrointestinal tract.World journal of gastrointestinal surgery · 2022Review
- Effects of magnetogastrography sensor configurations in tracking slow wave propagation.Computers in biology and medicine · 2021Article
- Electrogastrography for psychophysiological research: Practical considerations, analysis pipeline, and normative data in a large sample.Psychophysiology · 2020Review
- Noninvasive Magnetogastrography Detects Erythromycin-Induced Effects on the Gastric Slow Wave.IEEE transactions on bio-medical engineering · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
We measured gastric slow wave activity simultaneously with magnetogastrogram (MGG), mucosal electromyogram (EMG) and electrogastrogram (EGG) in human subjects with varying body mass index (BMI) before and after a meal. In order to investigate the effect of BMI on gastric slow wave parameters, each subject's BMI was calculated and divided into two groups: subjects with BMI ≤ 27 and BMI > 27. Signals were processed with Fourier spectral analysis and second-order blind identification (SOBI) techniques. Our results showed that increased BMI does not affect signal characteristics such as frequency and amplitude of EMG and MGG. Comparison of the postprandial EGG power, on the other hand, showed a statistically significant reduction in subjects with BMI > 27 compared with BMI ≤ 27. In addition to the frequency and amplitude, the use of SOBI-computed propagation maps from MGG data allowed us to visualize the propagating slow wave and compute the propagation velocity in both BMI groups. No significant change in velocity with increasing BMI or meal was observed in our study. In conclusion, multichannel MGG provides an assessment of frequency, amplitude and propagation velocity of the slow wave in subjects with differing BMI categories and was observed to be independent of BMI.
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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.