The Problem with Individual Risk Beverly Rockhill, Ph.D. Department of Epidemiology University of North Carolina, Chapel Hill.

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Presentation transcript:

The Problem with Individual Risk Beverly Rockhill, Ph.D. Department of Epidemiology University of North Carolina, Chapel Hill

Primary Prevention of Disease Mass diseases and mass exposures require mass remedies-- Geoffrey Rose Environmental, behavioral, and medical interventions should, and will, be targeted to each person’s genetic susceptibility-- Muin Khoury

Most identified chronic disease risk factors have only modest associations with disease—RRs How to identify high-risk individuals?

For most diseases, large majority of individuals will remain disease-free over considered time period, and “individual” risk estimates will tend to cluster at low end Bulk of disease cases will arise from mass of population with risk factor values ("individual risk") around average How to identify high-risk individuals?

Boxplots of 14-year estimated risk of lung cancer, according to baseline smoking status (NHS)

Calibration vs. discriminatory accuracy –Calibration=goodness of fit; extent of bias in model estimation. E.g., if average predicted risk for group of individuals is 0.10, and 10% of persons develop disease over time interval, model well-calibrated. –Discrimination: ability to separate individuals with different outcomes. Assessing accuracy of prediction at individual level

Risk factors as screening tools Risk prediction tool must have large associated relative risk (>>20) comparing extremes of exposure or predicted risk in order to serve as useful screening tool at individual level

RR q1-5 = 2

RR q1-5 = 20

RR q1-5 = 200

Main points Sensitivity and specificity, and resulting positive predictive value, of most risk factors/risk models are poor. NPV higher, obviously, but key question is “how much is gained, given knowledge of risk factors, above and beyond knowledge of average risk/incidence in population?” Individuals concerned with these quantities, since they address question “what does this information mean for ME?”, rather than with good calibration, statistically significant predictors, etc.

Critical questions Is there a systematic “rational” way that individuals should act on “individual risk” information? Would a “rational”individual make a change in diet to lower 5-year risk of colon cancer from 15/10,000 to 8/10,000? Take a drug to lower risk of breast cancer from 2% to 1% in 5 years? Where does education end, and persuasion begin? Do communicators have full understanding of what they are communicating?

General conclusions As long as poor ability to single out small minority of individuals who will develop disease remains, a prevention strategy built upon idea of individual risk prediction and communication will have to affect many (i.e., persuade many to change or act) in order to prevent disease in a few

General conclusions “Mass remedies” needed; which are socially, ethically acceptable, and logically supportable?