Currently, there is an intense pursuit of pathognomonic markers and diagnostic ('risk-based') classifiers of psychiatric conditions. Commonly, the epidemiological prevalence of the condition is not factored into the development of these classifiers. By not adjusting for prevalence, classifiers overestimate the potential of their clinical utility. As valid predictive values have critical implications in public health and allocation of resources, development of clinical classifiers should account for the prevalence of psychiatric conditions in both general and high-risk populations. We suggest that classifiers are most likely to be useful when targeting enriched populations.
Keywords: Autism; clinical classifiers; negative predictive value; positive predictive value; prevalence rate; psychiatric conditions; psychosis; risk calculators.