Improving lung cancer screening for Veterans using prediction models
Official title: Prediction Augmented Screening Initiative
Funded at Ralph H Johnson VA Medical Center · NIH-11052726 · Data updated 2026-11-12
This study is looking to improve lung cancer screening for Veterans, especially Black Veterans, by using personalized risk factors to help more people get screened and catch lung cancer early.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ralph H Johnson VA Medical Center NIH-funded |
| Lab location | 1 site (Charleston, United States) |
| Project start | April 1, 2025 |
| Project end | March 31, 2030 |
| Funding year | 2025 |
| NIH project number | 1I01CX002850-01 |
| Project ID | NIH-11052726 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are Veterans, especially Black Veterans, who meet the eligibility criteria for lung cancer screening but have not yet participated.
✕Less likely to help
Patients who do not meet the current eligibility criteria for lung cancer screening or those who are not Veterans may not benefit from this research.
What this research studies
This research aims to enhance lung cancer screening (LCS) for Veterans by incorporating prediction models that consider individual risk factors beyond just age and smoking history. It focuses on increasing the uptake of LCS, particularly among Black Veterans who are at higher risk but currently underrepresented in screening programs. The study will assess the feasibility of implementing these prediction-augmented criteria in real-world settings and evaluate their impact on screening rates. By demonstrating the effectiveness of this approach, the research seeks to influence national guidelines and improve health outcomes for Veterans.
Why it matters
Potential benefit: If successful, this research could lead to increased lung cancer screening rates among Veterans, particularly those at higher risk, ultimately improving early detection and survival rates.
How similar studies have gone: Previous research has shown that using prediction models can improve screening uptake, suggesting that this approach has potential for success.
Where this research is happening
-
Ralph H Johnson VA Medical Center
Charleston, United States Active
Researchers
- Principal investigator: Tanner, Nichole Tripician — Ralph H Johnson VA Medical Center
- Study coordinator: Tanner, Nichole Tripician
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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.