Open AccessIndividual Risk
Author(s) -
Stern Ralph H.
Publication year - 2012
Publication title -
the journal of clinical hypertension
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.909
H-Index - 67
eISSN - 1751-7176
pISSN - 1524-6175
DOI - 10.1111/j.1751-7176.2012.00592.x
Subject(s) - medicine , outcome (game theory) , class (philosophy) , inheritance (genetic algorithm) , reliability (semiconductor) , venn diagram , actuarial science , risk analysis (engineering) , computer science , psychology , artificial intelligence , mathematics , mathematical economics , genetics , quantum mechanics , biology , business , gene , mathematics education , power (physics) , physics
J Clin Hypertens (Greenwich) . 2012;14:261–264. ©2012 Wiley Periodicals, Inc. Patients don’t have an “individual risk” or unique probability of an outcome. Outside Mendelian inheritance, risks are conditional probabilities and differ as the risk factors included differ, at times substantially. This lack of reliability is an inherent limitation and is not resolved by including additional risk factors. Groups of like individuals need to be assembled to measure the probability of an outcome. Many groups, like any individual, can be identified, eg, groups of the same age, sex, race, or any combination of these attributes (or any others). That each of these groups may have different risk means there is no such thing as individual risk. This issue was identified by John Venn in 1866 and is known as the reference class problem. Models relate risk factors to outcomes in populations. The number calculated for an individual should not be reported as their individual or true risk, nor should it be used as the sole criterion for clinical decisions. Instead, Feinstein proposed relying on clinically important subgroups. An example would be utilizing an individual’s blood pressure as the primary determinant of hypertension treatment decisions, not an unreliable individual risk estimate.