Evidence map›Paper›PMID 39802489›Full record

ArticleGastro hep advances2025

A Standardized Classification Scheme for Gastroduodenal Disorder Evaluation Using the Gastric Alimetry System: Prospective Cohort Study.

Chris Varghese, Gabriel Schamberg, Emma Uren, Stefan Calder, Mikaela Law, Daphne Foong, Vincent Ho, Billy Wu, I-Hsuan Huang, Peng Du and 5 more

Abstract read
In one paragraph

Article in Gastro hep advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Chris VargheseDepartment of Surgery, The University of Auckland, Auckland, New Zealand.
Gabriel SchambergDepartment of Surgery, The University of Auckland, Auckland, New Zealand.
Emma UrenAlimetry Ltd, Auckland, New Zealand.
Stefan CalderAlimetry Ltd, Auckland, New Zealand.
Mikaela LawAlimetry Ltd, Auckland, New Zealand.
Daphne FoongSchool of Medicine, Western Sydney University, Sydney, Australia.
Vincent HoSchool of Medicine, Western Sydney University, Sydney, Australia.
Billy WuAlimetry Ltd, Auckland, New Zealand.
I-Hsuan HuangTranslational Research Center for Gastrointestinal Disorders (TARGID), University of Leuven, Leuven, Belgium.
Peng DuAlimetry Ltd, Auckland, New Zealand.
Thomas AbellDivision of Gastroenterology, University of Louisville, Louisville, Kentucky.
Charlotte DakerAlimetry Ltd, Auckland, New Zealand.
Christopher N AndrewsDepartment of Gastroenterology, University of Calgary, Calgary, Canada.
Armen A GharibansDepartment of Surgery, The University of Auckland, Auckland, New Zealand.
Gregory O'GradyDepartment of Surgery, The University of Auckland, Auckland, New Zealand.

Funding

Definitive Evaluation of Gastric Dysrhythmia as a Disease Mechanism by a Novel Body Surface Gastric Mapping TechniqueR56DK126935 · NIDDK · UNIVERSITY OF LOUISVILLE · PI ABELL, THOMAS LYMAN, O'GRADY, GREG · 2021 to 2021
$450k
NIDDK NIH HHS R56 DK126935
6 · The paper itself

Abstract

Background and Aims: Gastric Alimetry™ (Alimetry, New Zealand) is a new clinical test for gastroduodenal disorders involving simultaneous body surface gastric electrical mapping and validated symptom profiling. Studies have demonstrated a range of distinct pathophysiological profiles, and a classification scheme is now required. We used Gastric Alimetry spectral and symptom profiles to develop a mechanism-based test classification scheme, then assessed correlations with symptom severity, psychometrics, and quality of life. Methods: We performed a multicenter prospective cohort study of patients meeting the Rome IV criteria for functional dyspepsia and chronic nausea and vomiting syndromes. Patients underwent Gastric Alimetry profiling, and a standardized digital classification framework was devised and applied to separate patients into those with a) abnormal spectral analyses (ie aberrant gastric frequencies, amplitudes, and rhythms); and normal spectral analyses with b) symptoms Results: Two hundred ten patients were included (80% female, median age 37), of whom 169 met the criteria for chronic nausea and vomiting syndromes and 206 met the criteria for functional dyspepsia (79% meeting both criteria). Overall, 83% were phenotyped using the novel scheme, with 79/210 (37.6%) classified as having a spectral abnormality. Of the remainder, the most common phenotypes were "continuous pattern" (37, 17.6%), "meal-induced pattern" (28, 13.3%), and "sensorimotor pattern" (15, 7.1%). Symptom patterns independent of gastric amplitude were more strongly correlated with depression and anxiety (Patient Health Questionnaire 2: exp(β) 2.38, Conclusion: A mechanistic classification scheme for assessing gastroduodenal disorders is presented. Classified phenotypes showed independent relationships with symptom severity, quality of life, and psychological measures. The scheme is now being applied clinically and in research studies.

Indexed as

BiomarkerFunctional DyspepsiaGastroduodenalGastroenterologyPhenotyping

Identifiers

PMID39802489
PMCPMC11719321

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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.