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Peer-reviewedCC BYNeurogastroenterology & Motility

Expert Clinical Consensus on Body Surface Gastric Mapping Phenotypes for Gastroduodenal Disorders: ‘Auckland Classification’ v1.0

55 more authors

60 listed; 67 in total.

40 affiliations
  1. 1Department of Surgery The University of Auckland Auckland New Zealand
  2. 2Mayo Clinic Rochester Minnesota USA
  3. 3Alimetry Ltd Auckland New Zealand
  4. 4University of Louisville Louisville Kentucky USA
  5. 5Indiana University School of Medicine Indianapolis Indiana USA
  6. 6Auckland Bioengineering Institute, University of Auckland Auckland New Zealand
  7. 7Te Wananga o Aotearoa Auckland New Zealand
  8. 8Allegheny Health Network Pittsburgh Pennsylvania USA
  9. 9King's College Hospital NHS Foundation Trust London UK
  10. 10Dell Medical School, University of Texas at Austin Austin Texas USA
  11. 11Johns Hopkins University Baltimore Maryland USA
  12. 12Wellington Hospital Wellington New Zealand
  13. 13Cedars‐Sinai Los Angeles California USA
  14. 14Stanford University Stanford California USA
  15. 15Waitemata District Health Board Auckland New Zealand
  16. 16Washington and Lee University Lexington Virginia USA
  17. 17University College London London UK
  18. 18School of Medicine, Western Sydney University Sydney New South Wales Australia
  19. 19Klinik Arlesheim and University of Zurich Zurich Switzerland
  20. 20Apollo Multispeciality Hospitals Kolkata West Bengal India
  21. 21Cleveland Clinic London London UK
  22. 22Mayo Clinic Scottsdale Arizona USA
  23. 23Princess Alexandra Hospital; University of Queensland Brisbane Queensland Australia
  24. 24Functional Gut Clinic London UK
  25. 25Tri‐Service General Hospital, National Defense Medical University Taipei Taiwan
  26. 26Maastricht University Medical Center Maastricht the Netherlands
  27. 27Laureate Institute for Brain Research (LIBR), UCLA Los Angeles California USA
  28. 28Vagelos College of Medicine, Columbia University New York New York USA
  29. 29University of California San Diego California USA
  30. 30University of Pittsburgh Medical Center Pittsburgh Pennsylvania USA
  31. 31Feinberg School of Medicine, Northwestern University Chicago Illinois USA
  32. 32Atrium Health, Wake Forest School of Medicine Winston‐Salem North Carolina USA
  33. 33Hoag Digestive Health Institute Newport Beach California USA
  34. 34Temple University School of Medicine Philadelphia Pennsylvania USA
  35. 35Freeman Hospital Newcastle UK
  36. 36Medical University of South Carolina Charleston South Carolina USA
  37. 37University of Melbourne Melbourne Victoria Australia
  38. 38Chulalongkorn University Bangkok Thailand
  39. 39University of South Florida Tampa Florida USA
  40. 40University Hospitals Leuven Leuven Belgium

Abstract

INTRODUCTION: Chronic gastroduodenal disorders remain challenging to manage, and new diagnostic approaches are needed to better delineate underlying causes and guide therapeutic decisions. Body Surface Gastric Mapping (BSGM) technologies combine high-resolution gastric myoelectrical activity measurements with symptom and psychological profiling to provide mechanistic insights into gastric motor and sensory dysfunction. An International Working Group convened to derive the first consensus classification of BSGM phenotypes (the "Auckland Classification"). METHODS: A Technical Group conducted a systematic literature and clinical database review to identify objective test biomarkers and candidate disease mechanisms. Evidence was synthesized across 50 studies (primarily in gastroparesis, chronic nausea and vomiting, and functional dyspepsia), and BSGM phenotypes were mapped to existing treatment guidelines. Subsequently, iterative review and development of consensus was performed by a Consensus Group composed of international clinical experts familiar with BSGM. Eleven statements underlying the classification were then derived and circulated as a final survey to establish agreement. RESULTS: Six BSGM phenotypes were endorsed: three defined by myoelectrical abnormalities (Dysrhythmic, High Frequency, and Low Meal Response) and three by characteristic symptom associations (Sensorimotor, Continuous, and Delayed Onset Symptoms). Published studies plausibly linked these phenotypes to mechanisms including interstitial cell of Cajal depletion, vagal impairment, hypomotility, visceral hypersensitivity, gut-brain dysregulation, and small bowel dysfunction. Phenotypes were also mapped to existing mechanism-based treatment guidelines. Ten out of the eleven statements had > 80% agreement. CONCLUSIONS: The Auckland Classification, derived by international consensus, presents a structured framework for BSGM-defined patient phenotypes. Evidence and mechanism-based treatment options are suggested for each phenotype to provide a foundation for research, further validation, and a pathway for integrating BSGM into clinical care.

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BibTeX
@article{varghese2026expert,
  title = {{Expert Clinical Consensus on Body Surface Gastric Mapping Phenotypes for Gastroduodenal Disorders: ‘Auckland Classification’ v1.0}},
  author = {Chris Varghese and Nicky Dachs and Gabriel Schamberg and Thomas Abell and Mohammad Al‐Haddad and Timothy R. Angeli and Shahin Ayazi and Homira Ayubi and Mohammad Bashashati and Robert Bulat and Stefan S. Calder and Chris Cederwall and Bianca W. Chang and Leo K. Cheng and John O. Clarke and Charlotte Daker and Peng Du and Jonathan C. Erickson and Sven Eriksson and Asma Fikree and Daphne Foong and Mark Fox and Uday C. Ghoshal and Mahesh Goenka and Rehan J. Haidry and William Lee Hasler and Bu Hayee and Vincent Ho and Gerald Holtmann and Anthony Robert Hobson and I‐Hsuan Huang and Dániel Keszthelyi and Sahib S. Khalsa and Natasha A. Koloski and Braden Kuo and David C. Kunkel and Mikaela Law and David J. Levinthal and Joy J. Liu and Prateek Mathur and Baharak Moshiree and Leila Neshatian and Catherine Ngo and Linda Anh B. Nguyen and Nicholas R. Oblizajek and Henry P. Parkman and Sanjay Pandanaboyana and Alexander Joseph Podboy and Ali Ranjideh Rezaie and Amol Sharma and Sam Simmonds and Jonathan Sivakumar and Jarongkorn Sirimongkolkasem and Irene S. Sonu and Abigail M. Stocker and Joseph Adam Sujka and Jan F. Tack and Charles Verdonk and Xiao Jing Wang and Douglas Weinstein},
  journal = {Neurogastroenterology \& Motility},
  year = {2026},
  month = jul,
  doi = {10.1111/nmo.70377},
  url = {https://doi.org/10.1111/nmo.70377},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Expert Clinical Consensus on Body Surface Gastric Mapping Phenotypes for Gastroduodenal Disorders: ‘Auckland Classification’ v1.0
AU  - Chris Varghese
AU  - Nicky Dachs
AU  - Gabriel Schamberg
AU  - Thomas Abell
AU  - Mohammad Al‐Haddad
AU  - Timothy R. Angeli
AU  - Shahin Ayazi
AU  - Homira Ayubi
AU  - Mohammad Bashashati
AU  - Robert Bulat
AU  - Stefan S. Calder
AU  - Chris Cederwall
AU  - Bianca W. Chang
AU  - Leo K. Cheng
AU  - John O. Clarke
AU  - Charlotte Daker
AU  - Peng Du
AU  - Jonathan C. Erickson
AU  - Sven Eriksson
AU  - Asma Fikree
AU  - Daphne Foong
AU  - Mark Fox
AU  - Uday C. Ghoshal
AU  - Mahesh Goenka
AU  - Rehan J. Haidry
AU  - William Lee Hasler
AU  - Bu Hayee
AU  - Vincent Ho
AU  - Gerald Holtmann
AU  - Anthony Robert Hobson
AU  - I‐Hsuan Huang
AU  - Dániel Keszthelyi
AU  - Sahib S. Khalsa
AU  - Natasha A. Koloski
AU  - Braden Kuo
AU  - David C. Kunkel
AU  - Mikaela Law
AU  - David J. Levinthal
AU  - Joy J. Liu
AU  - Prateek Mathur
AU  - Baharak Moshiree
AU  - Leila Neshatian
AU  - Catherine Ngo
AU  - Linda Anh B. Nguyen
AU  - Nicholas R. Oblizajek
AU  - Henry P. Parkman
AU  - Sanjay Pandanaboyana
AU  - Alexander Joseph Podboy
AU  - Ali Ranjideh Rezaie
AU  - Amol Sharma
AU  - Sam Simmonds
AU  - Jonathan Sivakumar
AU  - Jarongkorn Sirimongkolkasem
AU  - Irene S. Sonu
AU  - Abigail M. Stocker
AU  - Joseph Adam Sujka
AU  - Jan F. Tack
AU  - Charles Verdonk
AU  - Xiao Jing Wang
AU  - Douglas Weinstein
PY  - 2026
DA  - 2026/07/01
JO  - Neurogastroenterology & Motility
DO  - 10.1111/nmo.70377
UR  - https://doi.org/10.1111/nmo.70377
AB  - INTRODUCTION: Chronic gastroduodenal disorders remain challenging to manage, and new diagnostic approaches are needed to better delineate underlying causes and guide therapeutic decisions. Body Surface Gastric Mapping (BSGM) technologies combine high-resolution gastric myoelectrical activity measurements with symptom and psychological profiling to provide mechanistic insights into gastric motor and sensory dysfunction. An International Working Group convened to derive the first consensus classification of BSGM phenotypes (the "Auckland Classification"). METHODS: A Technical Group conducted a systematic literature and clinical database review to identify objective test biomarkers and candidate disease mechanisms. Evidence was synthesized across 50 studies (primarily in gastroparesis, chronic nausea and vomiting, and functional dyspepsia), and BSGM phenotypes were mapped to existing treatment guidelines. Subsequently, iterative review and development of consensus was performed by a Consensus Group composed of international clinical experts familiar with BSGM. Eleven statements underlying the classification were then derived and circulated as a final survey to establish agreement. RESULTS: Six BSGM phenotypes were endorsed: three defined by myoelectrical abnormalities (Dysrhythmic, High Frequency, and Low Meal Response) and three by characteristic symptom associations (Sensorimotor, Continuous, and Delayed Onset Symptoms). Published studies plausibly linked these phenotypes to mechanisms including interstitial cell of Cajal depletion, vagal impairment, hypomotility, visceral hypersensitivity, gut-brain dysregulation, and small bowel dysfunction. Phenotypes were also mapped to existing mechanism-based treatment guidelines. Ten out of the eleven statements had > 80% agreement. CONCLUSIONS: The Auckland Classification, derived by international consensus, presents a structured framework for BSGM-defined patient phenotypes. Evidence and mechanism-based treatment options are suggested for each phenotype to provide a foundation for research, further validation, and a pathway for integrating BSGM into clinical care.
SN  - 1350-1925
SN  - 1365-2982
ER  -