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

Gastric Cancer Clinical Trial

Official title:

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

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT04957407
• Other study ID #: 71804161
• Status: Recruiting
• Start date: January 1, 2019
• Est. completion date: December 31, 2022

Study information

• Verified date: June 2021
• Source: Second Affiliated Hospital, School of Medicine, Zhejiang University
• Contact: Yuling Tong, Dr.
• Phone: 1375821220
• Email: tongyl0313[@]zju.edu.cn
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

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.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 5000
• Est. completion date: December 31, 2022
• Est. primary completion date: May 31, 2022
• Accepts healthy volunteers: No
• Gender: All
• Age group: 25 Years to 75 Years

Eligibility

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.

Related Conditions & MeSH terms

• Gastric Cancer
• Precancerous Lesion
• Stomach Neoplasms

Intervention

Other:
• pepsinogen
diagnostic value of pepsinogen for severe atrophy and gastric cancer

Locations

Country	Name	City	State
China	Zhejiang Provincial Hospital of Traditional Chinese Medicine	Hangzhou
China	Ningbo cadres health center	Ningbo

Sponsors (1)

Lead Sponsor	Collaborator
Second Affiliated Hospital, School of Medicine, Zhejiang University

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	pepsinogen value for precanceous lesion and Gastric cancer	pepsinogen value for precanceous lesion and Gastric cancer	1 year