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Estimating lifetime and age-conditional probabilities of developing cancer
L M Wun1, R M Merrill, E J Feuer
1Cancer Control Research Program, National Cancer Institute, Applied Research Branch, Bethesda, MD, USA.
Lifetime Data Analysis
|July 11, 1998
Summary
Cancer risk estimates inform the public about cancer incidence and trends. New methods refine these estimates, accounting for factors like surgery, to improve accuracy and understanding.
Area of Science:
- Epidemiology
- Biostatistics
- Public Health
Background:
- Cancer risk estimates are crucial for public awareness and early detection efforts.
- Current estimates, reported by programs like SEER, are based on incidence rates but can be misunderstood.
- Lifetime and age-conditional risk estimates are increasingly included in public health reports.
Purpose of the Study:
- To detail the methodology for deriving lifetime and age-conditional cancer risk estimates.
- To extend the methodology by incorporating adjustments for surgical procedures.
- To apply the methodology to specific cancer types, like corpus and uterus NOS cancers.
Main Methods:
- Utilizing incidence and mortality data within a multiple decrement life table framework.
- Implementing a cancer prevalence adjustment for age-conditional risk estimates.
- Employing a triple decrement life table to adjust for surgical procedures removing individuals from risk pools.
Main Results:
- Lifetime risk estimates are independent of cancer prevalence adjustments.
- Age-conditional risk estimates are influenced by cancer prevalence adjustments.
- Correcting lifetime risk estimates for surgical procedures consistently reduces the estimated risk.
Conclusions:
- The described methodology provides a robust framework for calculating accurate cancer risk estimates.
- Adjustments for surgical interventions are essential for precise risk assessment.
- Understanding the nuances of these estimates is vital for appropriate public interpretation and application in health planning.