Evidence map›Paper›PMID 25273285›Full record

ArticleWorld psychiatry : official journal of the World Psychiatric Association (WPA)2014

Biomarkers and clinical staging in psychiatry.

Patrick McGorry, Matcheri Keshavan, Sherilyn Goldstone, Paul Amminger, Kelly Allott, Michael Berk, Suzie Lavoie, Christos Pantelis, Alison Yung, Stephen Wood and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in World psychiatry : official journal of the World Psychiatric Association (WPA), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 7 pooled it
6.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

110 citing papers in PubMed, 7 syntheses or guidelines pooled it, 309 citations in OpenAlex.

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50 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 3 countries.

Patrick McGorryOrygen Youth Health Research Centre, Centre for Youth Mental Health, Department of Psychiatry, University of Melbourne, Melbourne, Australia.
Matcheri Keshavan
Sherilyn Goldstone
Paul Amminger
Kelly Allott
Michael Berk
Suzie Lavoie
Christos Pantelis
Alison Yung
Stephen Wood
Ian Hickie
Orygen Youth Health · AUUniversity of Melbourne · AUBeth Israel Deaconess Medical Center · USUniversity of Birmingham · GBUniversity of Manchester · GBUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized medicine is rapidly becoming a reality in today's physical medicine. However, as yet this is largely an aspirational goal in psychiatry, despite significant advances in our understanding of the biochemical, genetic and neurobiological processes underlying major mental disorders. Preventive medicine relies on the availability of predictive tools; in psychiatry we still largely lack these. Furthermore, our current diagnostic systems, with their focus on well-established, largely chronic illness, do not support a pre-emptive, let alone a preventive, approach, since it is during the early stages of a disorder that interventions have the potential to offer the greatest benefit. Here, we present a clinical staging model for severe mental disorders and discuss examples of biological markers that have already undergone some systematic evaluation and that could be integrated into such a framework. The advantage of this model is that it explicitly considers the evolution of psychopathology during the development of a mental illness and emphasizes that progression of illness is by no means inevitable, but can be altered by providing appropriate interventions that target individual modifiable risk and protective factors. The specific goals of therapeutic intervention are therefore broadened to include the prevention of illness onset or progression, and to minimize the risk of harm associated with more complex treatment regimens. The staging model also facilitates the integration of new data on the biological, social and environmental factors that influence mental illness into our clinical and diagnostic infrastructure, which will provide a major step forward in the development of a truly pre-emptive psychiatry.

Indexed as

Biomarkersclinical stagingdiagnostic reformearly interventionpersonalized medicinepre-emptive psychiatryyouth mental health

Identifiers

PMID25273285
PMCPMC4219053
OpenAlexW2023048212

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.