Early detection of stomach (gastric) cancer for people at higher risk
Assessing feasibility of gastric cancer screening in the US
This project will use electronic health records and machine learning to find people in the U.S. who are at higher risk of stomach cancer so they can be offered targeted screening.
Quick facts
| Grant type | R37 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cleveland Clinic Lerner Com-Cwru NIH-funded |
| Lab location | 1 site (Cleveland, United States) |
| Project ID | NIH-11306665 on NIH RePORTER |
What this research studies
You would be represented by health information in electronic medical records that researchers will analyze to find patterns linked to stomach cancer. The team will use computer learning methods to build a risk model based on factors like age, sex, race, family history, smoking, and H. pylori infection. They plan to test whether that model can reliably identify people who might benefit from targeted screening rather than screening everyone. If feasible, the work could guide pilot screening efforts in clinic settings and help enroll appropriate patients for follow-up testing.
Who could benefit from this research
Good fit: Ideal candidates are people whose health records show known stomach cancer risks such as older age, certain racial or ethnic backgrounds, family history of gastric cancer, smoking history, or documented H. pylori infection, and who receive care within participating U.S. health systems.
Not a fit: People at low risk for gastric cancer or those whose care is outside the participating health systems or EHR networks may not benefit from this project.
Why it matters
Potential benefit: If successful, this could help find stomach cancers earlier in people at higher risk, which may greatly improve survival.
How similar studies have performed: Risk models for gastric cancer have been developed mainly in Asian populations with mixed accuracy, and applying an electronic health record–based machine learning approach in the U.S. is largely untested.
Where this research is happening
Cleveland, United States
- Cleveland Clinic Lerner Com-Cwru — Cleveland, United States (Active)
Researchers
- Principal investigator: Kim, Michelle Kang — Cleveland Clinic Lerner Com-Cwru
- Study coordinator: Kim, Michelle Kang
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.