AI Article Synopsis
- Electrogastrography (EGG) is a method to assess stomach movement but is considered not very useful in clinical settings, whereas Gastric Alimetry combines advanced gastric mapping with symptom profiling to address these limitations.* -
- A study comparing EGG and the new Gastric Alimetry method involved 178 participants, showing that Gastric Alimetry provided better accuracy and a higher number of significant symptom correlations compared to EGG.* -
- While both methods detected irregular stomach rhythms, EGG performed poorly in classifying patients accurately, highlighting its limitations, while Gastric Alimetry showed significant performance improvements overall.*
Article Abstract
Electrogastrography (EGG) non-invasively evaluates gastric motility but is viewed as lacking clinical utility. Gastric Alimetry is a new diagnostic test that combines high-resolution body surface gastric mapping (BSGM) with validated symptom profiling, with the goal of overcoming EGG's limitations. This study directly compared EGG and BSGM to define performance differences in spectral analysis. Comparisons between Gastric Alimetry BSGM and EGG were conducted by protocolized retrospective evaluation of 178 subjects [110 controls; 68 nausea and vomiting (NVS) and/or type 1 diabetes (T1D)]. Comparisons followed standard methodologies for each test (pre-processing, post-processing, analysis), with statistical evaluations for group-level differences, symptom correlations, and patient-level classifications. BSGM showed substantially tighter frequency ranges vs EGG in controls. Both tests detected rhythm instability in NVS, but EGG showed opposite frequency effects in T1D. BSGM showed an 8× increase in the number of significant correlations with symptoms. BSGM accuracy for patient-level classification was 0.78 for patients vs controls and 0.96 as compared to blinded consensus panel; EGG accuracy was 0.54 and 0.43. EGG detected group-level differences in patients, but lacked symptom correlations and showed poor accuracy for patient-level classification, explaining EGG's limited clinical utility. BSGM demonstrated substantial performance improvements across all domains.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495352 | PMC |
| http://dx.doi.org/10.1038/s41598-023-41645-w | DOI Listing |
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