How to predict abnormal acid reflux: recent developments

While AET remains central, novel physiologic metrics and AI integration substantially enhance prediction of abnormal acid reflux, particularly in patients with borderline findings. The standardization of thresholds and validation in large multicentre studies is required for the establishment of these tools in clinical practice.

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Publication Details

Journal
Expert Review of Gastroenterology & Hepatology
Published
2026-02-01
DOI
https://doi.org/10.1080/17474124.2026.2628950
Primary Topic
Gastroesophageal reflux and treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

How to predict abnormal acid reflux: recent developments

Donghoon Kang, Jae Myung Park, Yu Kyung Cho
Expert Review of Gastroenterology & Hepatology
Gastroesophageal reflux and treatments
article

How to predict abnormal acid reflux: recent developments

Donghoon Kang, Jae Myung Park, Yu Kyung Cho
article en

Abstract

While AET remains central, novel physiologic metrics and AI integration substantially enhance prediction of abnormal acid reflux, particularly in patients with borderline findings. The standardization of thresholds and validation in large multicentre studies is required for the establishment of these tools in clinical practice.

Expert Review of Gastroenterology & HepatologyVol. 20(2)
Catholic University of Korea (KR)
Openalex Percentile: Top 64%
Gastroesophageal reflux and treatments
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How to predict abnormal acid reflux: recent developments — Donghoon Kang, Jae Myung Park, et al. · Expert Review of Gastroenterology & Hepatology (2026) | TGRS Research Map | TGRS