The Research of Constructing a Risk Assessment Model for Gastric Cancer Based on Machine Learning

July 8, 2021 updated by: Second Affiliated Hospital, School of Medicine, Zhejiang University
Based on the gastric cancer database established earlier, this project explored the PG standard suitable for Chinese people, and further explored the establishment of machine learning model to stratify gastric cancer risk in the population, guide the frequency of gastroscopy screening, and extract important gastric cancer risk factors from it.Establish electronic health records of gastric organs, track the development and outcome of gastric diseases through deep learning method, in order to predict the development and outcome of gastric diseases;Then, the simulation hypothesis deductive method is used to compare the outcomes that may be caused by different lifestyles with the help of deep learning model, so as to guide patients to develop a better lifestyle and explore the establishment of health management paths for gastric cancer patients and high-risk groups in China.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Anticipated)

5000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Yi Zhao, Master

Study Locations

  • China
      • Hangzhou, China
        • Recruiting
        • Zhejiang Provincial Hospital of Traditional Chinese Medicine
        • Contact:
          • Xuan Huang
      • Ningbo, China
        • Recruiting
        • Ningbo cadres health center
        • Contact:
          • Tong Huang

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

25 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

consecutive subjects who underwent regular health checkup at nine International Healthcare

Description

Inclusion Criteria:

  • 1） intention to undergo gastroscopy during health checkup examination; and 2) 25-75 years of age

Exclusion Criteria:

  • 1) a history of gastric ulcer, gastric polyp, or GC; 2) a history of gastrectomy; 3) treatment with a proton pump inhibitor in the last month; 4) contraindications to gastroscopy; 5) a history of Hp eradication; 6) a history of abdominal pain, abdominal distention, belching, acid reflux, nausea and other digestive tract symptoms within 1 month or 67) incomplete data.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
gastric cancer
Other: pepsinogen
diagnostic value of pepsinogen for severe atrophy and gastric cancer
non-atrophic gastritis
OLGA-0 group；OLGA (Operative Link on Gastritis Assessment)
mild-moderate atrophic gastritis
OLGA I-II group；OLGA (Operative Link on Gastritis Assessment)
severe atrophic gastritis
OLGA III-IV group；OLGA (Operative Link on Gastritis Assessment)
Other: pepsinogen
diagnostic value of pepsinogen for severe atrophy and gastric cancer

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
pepsinogen value for precanceous lesion and Gastric cancer
Time Frame: 1 year
pepsinogen value for precanceous lesion and Gastric cancer
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Second Affiliated Hospital, School of Medicine, Zhejiang University

Investigators

  • Principal Investigator: Yuling Tong, Dr., 2nd affiliated hospital of Zhejiang University, School of Medicine

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2019

Primary Completion (Anticipated)

May 31, 2022

Study Completion (Anticipated)

December 31, 2022

Study Registration Dates

First Submitted

July 8, 2021

First Submitted That Met QC Criteria

July 8, 2021

First Posted (Actual)

July 12, 2021

Study Record Updates

Last Update Posted (Actual)

July 12, 2021

Last Update Submitted That Met QC Criteria

July 8, 2021

Last Verified

June 1, 2021

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 71804161

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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