Stomach Neoplasms Clinical Trial
Official title:
Gastropanel *for Early Detection of Gastric Atrophy and Gastric Cancer Risk
Verified date | January 2018 |
Source | Biohit Healthcare Ltd |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Background: Atrophic gastritis (AG) is the single most important precursor condition for gastric cancer (GC) known so far. H. pylori infection is the most important causative agent of gastritis, and subsequent AG. The GastroPanel test (Biohit HealthCare, Helsinki, Finland), a blood test evaluating the four biomarkers specific for the gastric mucosa pepsinogen I (P-PGI), pepsinogen II (P-PGII), gastrin-17 (P-G-17) and H. pylori antibody (P-HpAb), is the first non-invasive diagnostic tool providing possibilities for detecting the patients at risk for GC and peptic ulcer as well as malabsorption of vitamin B12, iron, magnesium, calcium and some drugs. A well designed clinical study is warranted to fully assess the performance of GastroPanel examination in detecting the gastric lesions which can lead to GC. The investigators aim to perform a clinical study in an adult population in United Kingdom in order to determine the diagnostic accuracy of the GastroPanel test in evaluating AG and other specific gastric conditions associated with an increased risk for GC. Methods: Two hundred and fifty patients (45 years and older, both genders) will be enrolled among the patients with dyspepsia referred for gastroscopy at Homerton University Hospital (London, United Kingdom). During the same visit, all patients are subjected to gastroscopy examination, with directed biopsies from the antrum and corpus, following the protocol of the operative link on gastritis assessment (OLGA) classification for chronic gastritis and Sydney Classification. Biopsies are examined at the Pathology laboratory of Homerton University Hospital and interpreted using the OLGA staging system as well as the Sydney system for classification of gastritis. Specific aims: The principal goal of this clinical trial is to establish the performance of the GastroPanel examination in detecting AG and other specific gastric conditions associated with an increased risk for GC. In particular, the investigators will evaluate AG in the antrum, AG in the corpus, AG in both antrum and corpus (=atrophic pangastritis), biopsy-confirmed dysplasia (intestinal metaplasia) of the gastric mucosa. For all these conditions, the investigators will calculate the diagnostic accuracy of the GastroPanel test.
Status | Recruiting |
Enrollment | 250 |
Est. completion date | January 31, 2019 |
Est. primary completion date | October 2018 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 45 Years and older |
Eligibility |
Inclusion Criteria: - Adult females and males over 45 years of age with dyspeptic symptoms (epigastric pain, bloating and epigastric discomfort) Exclusion Criteria: - Patients who require surgery or immediate follow-up treatment for major symptoms, including hematemesis, melena, acute epigastric pain - Patients who previously underwent upper gastrointestinal surgery - Patients with diabetes - Pregnant women - Subjects who refuse to participate or are unable to give consent |
Country | Name | City | State |
---|---|---|---|
United Kingdom | Homerton University Hospital | London | Hackney |
Lead Sponsor | Collaborator |
---|---|
Biohit Healthcare Ltd |
United Kingdom,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Sensitivity and Specificity of the GastroPanel test for the detection of AG | Performance indicators (sensitivity, specificity, positive predictive value, PPV, negative predictive value, NPV and their 95%CI) of individual markers and whole GastroPanel test will be calculated separately for each study endpoint, using the STATA/SE software . The area under ROC (Receiver Operating Characteristics) called AUC, will be identified for each biomarker at each endpoint. Because GastroPanel is a quantitative ELISA test, these ROC curves can be used to identify the optimal sensitivity/specificity balance that gives each biomarker an optimal threshold for detection of each study endpoint. Significance of the difference between AUC values can be estimated using STATA's roccomb test with 95%CI. | Within six weeks from enrolment |
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