Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Establishment and Validation of a Clinical Predictive Model for Gastrointestinal Cancer Screening Based on Patient-related Risk Factors

Air Force Military Medical University, China · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
Open Source ↗
risk-factors
Gastrointestinal tumors (esophageal cancer, gastric cancer, colorectal cancer) seriously threaten human health, with a high incidence rate and cancer related hope mortality. Digestive endoscopy is the main method for screening gastrointestinal tumors. Early screening of gastrointestinal tumors can improve the detection of early cancer and improve prognosis. The five-year survival rate of early stage tumors after comprehensive treatment can reach 90%, while the five-year survival rate of late stage tumors is less than 30%. Therefore, the screening of gastrointestinal tumors is very important. Studies have shown that there are similarities in risk factors for gastrointestinal tumors, such as age, gender, family history, smoking, alcohol consumption, etc. Currently, established digestive malignancies are targeted at a single malignant tumor. At present, there is a lack of understanding of the overall risk factors associated with gastrointestinal tumors and the establishment of relevant risk prediction models. Therefore, we conducted a prospective, multicenter cross-sectional study to explore the independent risk factors of combined gastrointestinal tumors and establish a risk prediction model for combined screening of gastrointestinal tumors.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1086101
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive