Risk Assessment and Syndrome Evolution Models for Chronic Atrophic Gastritis Malignant Transformation

Sponsor
Beijing University of Chinese Medicine (Other)
Overall Status
Recruiting
CT.gov ID
NCT03261934
Collaborator
The University of Science and Technology of China (Other), China Academy of Chinese Medical Sciences (Other), Harvard Medical School (HMS and HSDM) (Other)
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Study Details

Study Description

Brief Summary

Chronic atrophic gastritis (CAG) is acknowledged as the precancerous stage of gastric cancer (GC). The present study aims to developed risk assessment and syndrome evolution models of CAG malignant transformation events combining TCM indicators with modern medicine indicators. The proposed study is a registry study based participant survey conducted in 4 hospitals in Beijing, China. After obtaining informed consent, a total of 2000 study patients diagnosed with CAG will be recruited. 10-year follow-ups are carried out on-site in hospitals and off-site by telephone to track malignant transformation events.

Condition or Disease Intervention/Treatment Phase
  • Other: No intervention

Detailed Description

Chronic atrophic gastritis (CAG) is acknowledged as the precancerous stage of gastric cancer (GC). Active treatment of CAG is vital in arresting malignant transformation. Traditional Chinese medicine (TCM) has been widely used in treating CAG and preventing GC. To date, no study has been conducted to assess the risk and syndrome evolution features of CAG malignant transformation by establishing models combining both TCM and modern medicine indicators.

The present study aims to developed risk assessment and syndrome evolution models of CAG malignant transformation events combining TCM indicators with modern medicine indicators. The proposed study is a registry study based participant survey conducted in 4 hospitals in Beijing, China. After obtaining informed consent, a total of 2000 study patients diagnosed with CAG will be recruited. 10-year follow-ups are carried out on-site in hospitals and off-site by telephone to track malignant transformation events. Comparative analysis of prevalence of malignant transformation events and presenting TCM or modern medicine features in different groups is conducted using frequency analysis and chi-squared tests, and expressed with composition ratios. Correlation analysis of malignant transformation events and TCM or modern medicine factors will be performed using logistic regression, and multivariate Cox proportional hazard model respectively. Exploratory factor analysis, correspondence analysis, association rule analysis, hierarchical clustering analysis, and complex system entropy clustering analysis will also be performed respectively for validating features of syndrome evolution in CAG malignant transformation process.

Previous reports on modern medicine indicators based risk assessment model for ischemic stroke endpoint events exist, but no studies have been undertaken combining TCM features. The risk assessment model combining both TCM and modern medicine indicators has the potential to facilitate early warning, early intervention and early control of CAG malignant transformation. The syndrome evolution model will help evaluate the core TCM pathogenesis of CAG malignant transformation so as to promote optimization of treatment strategies.

Study Design

Study Type:
Observational [Patient Registry]
Anticipated Enrollment :
2000 participants
Observational Model:
Other
Time Perspective:
Prospective
Official Title:
Risk Assessment and Syndrome Evolution Models Combining Traditional Chinese Medicine and Modern Medicine Indicators for Chronic Atrophic Gastritis Malignant Transformation: a Registry Study
Actual Study Start Date :
Jan 1, 2018
Anticipated Primary Completion Date :
Dec 31, 2030
Anticipated Study Completion Date :
Dec 31, 2030

Outcome Measures

Primary Outcome Measures

  1. malignant transformation events of chronic atrophic gastritis [10 years follow-up]

    The primary outcome measures will be the malignant transformation events of chronic atrophic gastritis, including gastric mucosal atrophy, intestinal metaplasia, gastric intraepithelial dysplasia, and gastric carcinoma, according to the definition given by "Chronic Gastritis Diagnosis and Treatment Consensus of China (version 2012)", as promulgated by the Society of Gastroenterology, Chinese Medical Association.

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 75 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:

(1) 18-75 years of age; (2) Meeting diagnostic criteria of CAG after upper gastrointestinal endoscopy; (3) Willing to cooperate with data, tissue sample, and blood sample collection during recruitment; (4) Willing to respond truthfully and timely to researcher queries after recruitment, able to cooperate with data, tissue sample and blood sample collection during follow-ups; (5) Willing to sign informed consent.

Exclusion Criteria:

(1) Meeting past history of previous stomach surgery; (2) Unable to participate in data, tissue sample or blood sample collection for any reason.

Contacts and Locations

Locations

Site City State Country Postal Code
1 Dongzhimen Hospital Beijing Beijing China 100029
2 Wangjing Hospital Beijing Beijing China 100102

Sponsors and Collaborators

  • Beijing University of Chinese Medicine
  • The University of Science and Technology of China
  • China Academy of Chinese Medical Sciences
  • Harvard Medical School (HMS and HSDM)

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Dr. Xia Ding, Professor, Beijing University of Chinese Medicine
ClinicalTrials.gov Identifier:
NCT03261934
Other Study ID Numbers:
  • 81630080-CAG-REG
First Posted:
Aug 25, 2017
Last Update Posted:
Dec 29, 2020
Last Verified:
Dec 1, 2020
Individual Participant Data (IPD) Sharing Statement:
No
Plan to Share IPD:
No
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Dr. Xia Ding, Professor, Beijing University of Chinese Medicine
Additional relevant MeSH terms:

Study Results

No Results Posted as of Dec 29, 2020