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

Détails

ID Serval
serval:BIB_2C05C1892B43
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Editorial
Collection
Publications
Titre
Mind the prevalence rate: overestimating the clinical utility of psychiatric diagnostic classifiers.
Périodique
Psychological medicine
Auteur(s)
Abu-Akel A., Bousman C., Skafidas E., Pantelis C.
ISSN
1469-8978 (Electronic)
ISSN-L
0033-2917
Statut éditorial
Publié
Date de publication
06/2018
Peer-reviewed
Oui
Volume
48
Numéro
8
Pages
1225-1227
Langue
anglais
Notes
Publication types: Editorial
Publication Status: ppublish
Résumé
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.
Mots-clé
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
Oui
Création de la notice
22/03/2018 18:05
Dernière modification de la notice
20/08/2019 13:11
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