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VA tests smart tools to catch lung cancer earlier in veterans

NCT ID NCT06538636

First seen Nov 01, 2025 · Last updated Jun 23, 2026 · Updated 33 times

Summary

This large VA study tests whether giving doctors personalized prediction tools can increase lung cancer screening among Veterans who would benefit most. Lung cancer is the top cancer killer of Veterans, but only 20% of eligible get screened. The trial will enroll over 23,000 Veterans across multiple VA sites to see if these tools improve screening rates and reduce racial disparities.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Ralph H. Johnson VA Medical Center, Charleston, SC

    Charleston, South Carolina, 29401-5703, United States

    Contact

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • VA Ann Arbor Healthcare System, Ann Arbor, MI

    Ann Arbor, Michigan, 48105-2303, United States

    Contact Email: •••••@•••••

    Contact Email: •••••@•••••

  • VA Bedford HealthCare System, Bedford, MA

    Bedford, Massachusetts, 01730-1114, United States

    Contact Email: •••••@•••••

    Contact Email: •••••@•••••

  • VA Boston Healthcare System Jamaica Plain Campus, Jamaica Plain, MA

    Boston, Massachusetts, 02130-4817, United States

    Contact Email: •••••@•••••

    Contact Email: •••••@•••••

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance

Prediction tools and decision aids for lung cancer screening

What this could lead to

If successful, this could show that using prediction models to identify who benefits most from lung cancer screening increases screening rates and catches more cancers early, especially among Black Veterans.

What could go wrong

This is a pragmatic trial testing implementation, not a new treatment. The tools may not significantly change screening behavior, and results may not apply outside the VA system.

Conditions

The condition(s) this trial relates to.

lung cancer lung neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.