ArticleEsophagus : official journal of the Japan Esophageal Society2024
Manometric esophagogastric junction barrier metrics as predictors of gastroesophageal reflux.
Article in Esophagus : official journal of the Japan Esophageal Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 4 citations in OpenAlex.
- Mean Basal Esophagogastric Junction Pressure Is a Better High-resolution Manometry Predictor of Gastroesophageal Reflux Disease Than Esophagogastric Junction Contractile Integral.Journal of neurogastroenterology and motility · 2026Article
- Simplifying the esophagogastric junction contractile integral calculation.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026Article
- Future perspectives in esophageal manometry.World journal of gastrointestinal surgery · 2025Review
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4 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundHigh-resolution manometry (HRM) tools, like esophagogastric junction contractile integral (EGJ-CI), assess EGJ barrier function. GOALS: This study aimed to evaluate the relationships between manometric EGJ metrics with esophageal acid exposure. STUDY: We conducted a retrospective review of 284 patients who underwent HRM and ambulatory reflux testing between 11/2017-1/2020. EGJ-CI and total-EGJ-CI were manually calculated. Pathologic acid exposure was defined as pH < 4 with esophageal acid exposure time (EAET) exceeding 6.0%. Pearson's correlation, univariable and multivariable regression models were utilized to assess the relationships between pathologic acid exposure and EGJ parameters. Sensitivity and specificity thresholds for EGJ-CI and total EGJ-CI were optimized with ROC analyses.
resultsOn univariable analysis, patients with pathologic acid exposure had increased odds of having lower mean basal LES pressures, EGJ-CI, and total EGJ-CI than patients without pathologic acid exposure. On multivariable analysis, age, EGJ-CI and mean DCI were significant predictors of pathologic acid exposure. There were significant, though weak, correlations between EAET and EGJ-CI and total EGJ-CI (r = - 0.18, - 0.19, p < 0.01, respectively). An EGJ-CI cutoff of 44.16 as a predictor for pathologic acid exposure had a sensitivity of 46% and specificity of 42% (AUC 0.60). Total EGJ-CI cutoff of 11,461.3 for pathologic acid exposure had a sensitivity of 44% and a specificity of 43% (AUC 0.62).
conclusionEGJ-CI can independently predict pathologic acid exposure. However, the poor correlation between EGJ-CI and acid exposure, as well as the low sensitivity and specificity of calculated thresholds, indicate that mechanisms other than EGJ barrier function may impact acid exposure.
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