NCT04268719

Brief Summary

Gastro-oesophageal reflux disease (GORD) is a chronic condition with symptoms arising secondary to the reflux of stomach contents (Vakil et al., 2006). It is divided into four phenotypes: Erosive Oesophagitis (EO), Non-Erosive Reflux Disease (NERD), Reflux Hypersensitivity (RH), Functional Heartburn (FH) (Nikaki, Woodland and Sifrim, 2016). The definition of these phenotype have evolved with the addition of diagnostic tests and methods of their interpretation, the most recent being the Lyon Consensus Statement (Gyawali et al., 2018). The majority of patients presenting with symptoms suggestive of GORD have no mucosal lesion seen at endoscopy (Nikaki, Woodland and Sifrim, 2016). Studies have shown a relation of increased IPCL numbers with GORD. This study aims to build a fully autmoated AI model using Near-Focus NBI images on patients with symptoms suggestive of GORD phenotyped in accordance with the Lyon Consensus.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
76

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Nov 2017

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 23, 2017

Completed
8 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 26, 2018

Completed
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

November 30, 2018

Completed
1.2 years until next milestone

First Submitted

Initial submission to the registry

February 11, 2020

Completed
2 days until next milestone

First Posted

Study publicly available on registry

February 13, 2020

Completed
Last Updated

February 13, 2020

Status Verified

February 1, 2020

Enrollment Period

8 months

First QC Date

February 11, 2020

Last Update Submit

February 11, 2020

Conditions

Outcome Measures

Primary Outcomes (2)

  • To evaluate Intra-Papillary Capillary Loop (IPCL) changes secondary to oesophageal acid exposure.

    Parameters of IPCLs: IPCLs/region of interest, morphology: IPCL length, density correlated to oesophageal acid exposure

    6 weeks post completion of wireless capsule pH recording

  • To develop an accurate and reliable artificial intelligence model for the diagnosis of Gastro-Oesophageal Reflux Disease (GORD)

    Patient data split into training/validation and test dataset for computer assisted and deep learning model training and testing

    3 months after completion of all data collection

Secondary Outcomes (1)

  • To explore factors that may predict response to treatment.

    6 weeks to include data of response to antacid treatment

Study Arms (2)

Gastro-Esophageal Reflux Disease

Patients defined as having GERD as per Lyon Consensus

Diagnostic Test: wireless pH capsule recording

Non-acid Reflux

Patient excluded for GERD as per Lyon Consensus

Diagnostic Test: wireless pH capsule recording

Interventions

wireless pH capsule recording for up to 96 hours

Gastro-Esophageal Reflux DiseaseNon-acid Reflux

Eligibility Criteria

Age18 Years - 90 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Consecutive patients attending the Gastroenterology department for the investigation of symptoms suggestive of Gastro-Oesophageal Reflux Disease (GORD) were approached for recruitment. Patients had to have symptoms including heartburn, regurgitation or chest/epigastric pain for a minimum of 3 months.

You may qualify if:

  • Retaining capacity and medically fit for gastroscopy
  • Requiring gastroscopy by current BSG guidelines for the investigation of acid reflux/ dyspepsia

You may not qualify if:

  • Unable to give informed consent
  • History of oesophageal or gastric surgery
  • Allergy to proton-pump inhibitor
  • Known Barrett's Oesophagus/ oesophageal carcinoma/ oesophageal stricture/ known oesophageal dysmotility
  • Portal Hypertension
  • Pacemaker (BRAVO)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Shraddha Gulati

London, SE5 9RS, United Kingdom

Location

Related Publications (14)

  • Vakil N, van Zanten SV, Kahrilas P, Dent J, Jones R; Global Consensus Group. The Montreal definition and classification of gastroesophageal reflux disease: a global evidence-based consensus. Am J Gastroenterol. 2006 Aug;101(8):1900-20; quiz 1943. doi: 10.1111/j.1572-0241.2006.00630.x.

    PMID: 16928254BACKGROUND
  • Nikaki K, Woodland P, Sifrim D. Adult and paediatric GERD: diagnosis, phenotypes and avoidance of excess treatments. Nat Rev Gastroenterol Hepatol. 2016 Sep;13(9):529-42. doi: 10.1038/nrgastro.2016.109. Epub 2016 Jul 27.

    PMID: 27485786BACKGROUND
  • Gyawali CP, Kahrilas PJ, Savarino E, Zerbib F, Mion F, Smout AJPM, Vaezi M, Sifrim D, Fox MR, Vela MF, Tutuian R, Tack J, Bredenoord AJ, Pandolfino J, Roman S. Modern diagnosis of GERD: the Lyon Consensus. Gut. 2018 Jul;67(7):1351-1362. doi: 10.1136/gutjnl-2017-314722. Epub 2018 Feb 3.

    PMID: 29437910BACKGROUND
  • Lundell LR, Dent J, Bennett JR, Blum AL, Armstrong D, Galmiche JP, Johnson F, Hongo M, Richter JE, Spechler SJ, Tytgat GN, Wallin L. Endoscopic assessment of oesophagitis: clinical and functional correlates and further validation of the Los Angeles classification. Gut. 1999 Aug;45(2):172-80. doi: 10.1136/gut.45.2.172.

    PMID: 10403727BACKGROUND
  • Nozu T, Komiyama H. Clinical characteristics of asymptomatic esophagitis. J Gastroenterol. 2008;43(1):27-31. doi: 10.1007/s00535-007-2120-2. Epub 2008 Feb 24.

    PMID: 18297432BACKGROUND
  • Zagari RM, Fuccio L, Wallander MA, Johansson S, Fiocca R, Casanova S, Farahmand BY, Winchester CC, Roda E, Bazzoli F. Gastro-oesophageal reflux symptoms, oesophagitis and Barrett's oesophagus in the general population: the Loiano-Monghidoro study. Gut. 2008 Oct;57(10):1354-9. doi: 10.1136/gut.2007.145177. Epub 2008 Apr 18.

    PMID: 18424568BACKGROUND
  • Lee YC, Lin JT, Chiu HM, Liao WC, Chen CC, Tu CH, Tai CM, Chiang TH, Chiu YH, Wu MS, Wang HP. Intraobserver and interobserver consistency for grading esophagitis with narrow-band imaging. Gastrointest Endosc. 2007 Aug;66(2):230-6. doi: 10.1016/j.gie.2006.10.056.

    PMID: 17643694BACKGROUND
  • Fock KM, Teo EK, Ang TL, Tan JY, Law NM. The utility of narrow band imaging in improving the endoscopic diagnosis of gastroesophageal reflux disease. Clin Gastroenterol Hepatol. 2009 Jan;7(1):54-9. doi: 10.1016/j.cgh.2008.08.030. Epub 2008 Sep 3.

    PMID: 18852068BACKGROUND
  • Inoue H, Kaga M, Ikeda H, Sato C, Sato H, Minami H, Santi EG, Hayee B, Eleftheriadis N. Magnification endoscopy in esophageal squamous cell carcinoma: a review of the intrapapillary capillary loop classification. Ann Gastroenterol. 2015 Jan-Mar;28(1):41-48.

    PMID: 25608626BACKGROUND
  • Kato M, Kaise M, Yonezawa J, Toyoizumi H, Yoshimura N, Yoshida Y, Kawamura M, Tajiri H. Magnifying endoscopy with narrow-band imaging achieves superior accuracy in the differential diagnosis of superficial gastric lesions identified with white-light endoscopy: a prospective study. Gastrointest Endosc. 2010 Sep;72(3):523-9. doi: 10.1016/j.gie.2010.04.041. Epub 2010 Jul 3.

    PMID: 20598685BACKGROUND
  • Sharma P, Wani S, Bansal A, Hall S, Puli S, Mathur S, Rastogi A. A feasibility trial of narrow band imaging endoscopy in patients with gastroesophageal reflux disease. Gastroenterology. 2007 Aug;133(2):454-64; quiz 674. doi: 10.1053/j.gastro.2007.06.006. Epub 2007 Jun 8.

    PMID: 17681166BACKGROUND
  • Lv J, Liu D, Ma SY, Zhang J. Investigation of relationships among gastroesophageal reflux disease subtypes using narrow band imaging magnifying endoscopy. World J Gastroenterol. 2013 Dec 7;19(45):8391-7. doi: 10.3748/wjg.v19.i45.8391.

    PMID: 24363532BACKGROUND
  • Pace F, Buscema M, Dominici P, Intraligi M, Baldi F, Cestari R, Passaretti S, Bianchi Porro G, Grossi E. Artificial neural networks are able to recognize gastro-oesophageal reflux disease patients solely on the basis of clinical data. Eur J Gastroenterol Hepatol. 2005 Jun;17(6):605-10. doi: 10.1097/00042737-200506000-00003.

    PMID: 15879721BACKGROUND
  • Zhao YY, Xue DX, Wang YL, Zhang R, Sun B, Cai YP, Feng H, Cai Y, Xu JM. Computer-assisted diagnosis of early esophageal squamous cell carcinoma using narrow-band imaging magnifying endoscopy. Endoscopy. 2019 Apr;51(4):333-341. doi: 10.1055/a-0756-8754. Epub 2018 Nov 23.

    PMID: 30469155BACKGROUND

MeSH Terms

Conditions

Gastroesophageal Reflux

Condition Hierarchy (Ancestors)

Esophageal Motility DisordersDeglutition DisordersEsophageal DiseasesGastrointestinal DiseasesDigestive System Diseases

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 11, 2020

First Posted

February 13, 2020

Study Start

November 23, 2017

Primary Completion

July 26, 2018

Study Completion

November 30, 2018

Last Updated

February 13, 2020

Record last verified: 2020-02

Data Sharing

IPD Sharing
Will not share

Protocol possible to obtain upon request

Locations