Mind the prevalence rate: overestimating the clinical utility of psychiatric diagnostic classifiers.

Details

Serval ID
serval:BIB_2C05C1892B43
Type
Article: article from journal or magazin.
Publication sub-type
Editorial
Collection
Publications
Title
Mind the prevalence rate: overestimating the clinical utility of psychiatric diagnostic classifiers.
Journal
Psychological medicine
Author(s)
Abu-Akel A., Bousman C., Skafidas E., Pantelis C.
ISSN
1469-8978 (Electronic)
ISSN-L
0033-2917
Publication state
Published
Issued date
06/2018
Peer-reviewed
Oui
Volume
48
Number
8
Pages
1225-1227
Language
english
Notes
Publication types: Editorial
Publication Status: ppublish
Abstract
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 Spectrum Disorder/diagnosis, Autism Spectrum Disorder/epidemiology, Biomarkers, Genetic Testing, Humans, Mental Disorders/diagnosis, Mental Disorders/epidemiology, Population, Prevalence, Risk Assessment, Risk Factors, Autism, clinical classifiers, negative predictive value, positive predictive value, prevalence rate, psychiatric conditions, psychosis, risk calculators
Pubmed
Web of science
Open Access
Yes
Create date
22/03/2018 19:05
Last modification date
20/08/2019 14:11
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