Modeling screening, prevention, and delaying of Alzheimer's disease: an early-stage decision analytic model
2010

Modeling Alzheimer's Disease Screening and Prevention

Sample size: 1000 publication 10 minutes Evidence: moderate

Author Information

Author(s): Nicolas M. Furiak, Robert W. Klein, Kristin Kahle-Wrobleski, Eric R. Siemers, Eric Sarpong, Timothy M. Klein

Primary Institution: Medical Decision Modeling Inc.

Hypothesis

How can screening and treatment delay the onset of Alzheimer's Disease?

Conclusion

The study suggests that screening can significantly increase the number of Alzheimer's disease-free years and reduce the incidence of the disease.

Supporting Evidence

  • Screening can reduce Alzheimer's disease cases by 20 per 1000 individuals screened.
  • 61% of the incremental Alzheimer's disease-free years gained were among patients who avoided the disease.
  • The number needed to screen to prevent one case of Alzheimer's disease is 51.

Takeaway

This study shows that screening older people for Alzheimer's can help them avoid getting the disease and live healthier for longer.

Methodology

A time-to-event simulation was used to estimate the impact of screening and treatment on Alzheimer's disease onset.

Potential Biases

Potential overestimation of screening test effectiveness due to reliance on existing literature.

Limitations

The model does not account for subpopulations and relies on assumptions about treatment adherence and screening test characteristics.

Participant Demographics

General population aged 55 and older, with a focus on those screened at age 70.

Digital Object Identifier (DOI)

10.1186/1472-6947-10-24

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