Literature DB >> 24877683

Clinically meaningful biomarkers for psychosis: a systematic and quantitative review.

Diana Prata1, Andrea Mechelli2, Shitij Kapur2.   

Abstract

Despite five decades of search for clinically meaningful 'biomarkers' in schizophrenia there are still no common tests to inform diagnosis or treatment. Our aim was to understand why it has been so difficult to convert biological findings into clinical tests. We categorized all PubMed-indexed articles investigating psychosis-related biomarkers to date (over 3200). Studies showed an evident publication bias, a confusing array of terminology, and few systematic efforts at longitudinal evaluation or external validation. Fewer than 200 studies investigated biomarkers, longitudinally, for prediction of illness course and treatment response. These biomarkers were then evaluated in terms of their statistical reliability and clinical effect size. Only one passed our a priori threshold for clinical applicability. This is a modest record. In order to promote real progress, the field needs: (a) consistent use of terminology so that studies can be compared; (b) a system of standardized universal reporting to overcome the existing publication bias; and (c) practical criteria [a prototype is suggested here] for assessing the clinical applicability of the findings.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Antipsychotic; Biomarker; Diagnosis; Marker; Pharmacogenetics; Prediction; Prognosis; Psychosis; Schizophrenia; Treatment response

Mesh:

Substances:

Year:  2014        PMID: 24877683     DOI: 10.1016/j.neubiorev.2014.05.010

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  26 in total

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7.  The GRM7 gene, early response to risperidone, and schizophrenia: a genome-wide association study and a confirmatory pharmacogenetic analysis.

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8.  Neuroimaging Biomarkers for Psychosis.

Authors:  Brandon M Hager; Matcheri S Keshavan
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Review 9.  New drug developments in psychosis: Challenges, opportunities and strategies.

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Journal:  Prog Neurobiol       Date:  2016-08-09       Impact factor: 11.685

Review 10.  The Myth of Optimality in Clinical Neuroscience.

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