Disorders of gut–brain interaction (DGBI) are common, heterogeneous, and often managed over long time horizons. While symptom diaries remain widely used, they can be burdensome, inconsistent, and vulnerable to recall effects and reporting bias. At the same time, clinical care is seeing rapid growth in portable and remote assessment tools—such as smartphone-based ecological momentary assessment (EMA), wearable physiologic sensors, home-based testing, digital therapeutics, and algorithm-supported triage. Yet key gaps persist: how to validate these tools against meaningful clinical outcomes, how to quantify and mitigate bias across patient groups, and how to implement decision support in workflows that are practical for gastroenterology clinics.
This Research Topic will showcase therapeutic decision-support approaches that extend beyond traditional symptom recording for DGBI (e.g., IBS, functional dyspepsia, functional constipation, rumination syndrome, and centrally mediated abdominal pain syndrome). We welcome work that bridges measurement science, clinical trials, and implementation, with emphasis on tools that guide treatment selection, monitoring, and step-up/step-down care—without increasing clinician burden.
We encourage submissions including (but not limited to): development and validation of portable assessment methods (EMA, passive sensing, digital biomarkers, remote patient monitoring); bias and fairness evaluation of patient-reported outcomes and algorithms; methods to detect placebo/nocebo effects and expectation-related confounding; integration of decision support into care pathways (referral criteria, treat-to-target frameworks, shared decision-making); pragmatic trials and real-world evidence on feasibility and effectiveness; interoperability and data standards; privacy and ethics; and implementation workflows for multidisciplinary care (dietitians, psychology, pelvic floor therapy, pharmacy).
By bringing together clinicians, researchers, and digital health experts, this Topic aims to accelerate evidence-based, scalable decision support that improves personalization and outcomes for patients with DGBI in routine gastroenterology practice.
Article types and fees
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Classification
Clinical Trial
Community Case Study
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.
Article types
This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:
Brief Research Report
Case Report
Classification
Clinical Trial
Community Case Study
Data Report
Editorial
FAIR² Data
FAIR² DATA Direct Submission
General Commentary
Hypothesis and Theory
Methods
Mini Review
Opinion
Original Research
Perspective
Policy and Practice Reviews
Policy Brief
Review
Study Protocol
Systematic Review
Technology and Code
Keywords: Disorders of gut–brain interaction (DGBI); Clinical decision support; Ecological momentary assessment (EMA); Digital biomarkers; Implementation science
Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.