Evidence map›Paper›PMID 27334937›Full record

ArticlePsychological medicine2017

Mental disorders of known aetiology and precision medicine in psychiatry: a promising but neglected alliance.

D Fraguas, C M Díaz-Caneja, M W State, M C O'Donovan, R E Gur, C Arango

Registry-linked trialAbstract readEditorial
In one paragraph

Article in Psychological medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05911412 (Development of the Neuroimaging Biomarker-based Prediction Model of Anxiety-related Disorders and Novel Treatment Strategies), which is not on this map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

NCT05911412 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Development of the Neuroimaging Biomarker-based Prediction Model of Anxiety-related Disorders and Novel Treatment Strategies: Effect of Mindfulness-based Cognitive Therapy Using Neuroscience on the Brain

TypeinterventionalSponsorCHA UniversityRan2023 to 2025Enrolled64ConditionsAnxiety DepressionArmsMindfulness-based cognitive therapy using neuroscience (NMBCT)
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Candidate gene associations studies in psychiatry: time to move forward.European archives of psychiatry and clinical neuroscience · 2017
    Article
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

6 authors.

D FraguasDepartment of Child and Adolescent Psychiatry,Hospital General Universitario Gregorio Marañón,CIBERSAM,IiSGM, School of Medicine,Universidad Complutense de Madrid,Madrid,Spain.
C M Díaz-CanejaDepartment of Child and Adolescent Psychiatry,Hospital General Universitario Gregorio Marañón,CIBERSAM,IiSGM, School of Medicine,Universidad Complutense de Madrid,Madrid,Spain.
M W StateDepartment of Psychiatry and Langley Porter Psychiatric Institute,University of California,San Francisco,CA,USA.
M C O'DonovanDepartment of Psychological Medicine and Clinical Neuroscience,MRC Centre for Neuropsychiatric Genetics and Genomics,Cardiff University School of Medicine,Heath Park,Cardiff,UK.
R E GurDepartment of Psychiatry,Neuropsychiatry Section,Perelman School of Medicine,University of Pennsylvania,Philadelphia,PA,USA.
C ArangoDepartment of Child and Adolescent Psychiatry,Hospital General Universitario Gregorio Marañón,CIBERSAM,IiSGM, School of Medicine,Universidad Complutense de Madrid,Madrid,Spain.

Funding

5/5 International Consortium on Brain and Behavior in 22q11.2 Deletion SyndromeU01MH101724 · NIMH · CARDIFF UNIVERSITY · PI ARANGO, CELSO, MURPHY, DECLAN · 2013 to 2016
$744k
Medical Research Council MR/P005748/1NIMH NIH HHS U01 MH101724
6 · The paper itself

Abstract

Personalized or precision medicine is predicated on the assumption that the average response to treatment is not necessarily representative of the response of each individual. A commitment to personalized medicine demands an effort to bring evidence-based medicine and personalized medicine closer together. The use of relatively homogeneous groups, defined using a priori criteria, may constitute a promising initial step for developing more accurate risk-prediction models with which to advance the development of personalized evidence-based medicine approaches to heterogeneous syndromes such as schizophrenia. However, this can lead to a paradoxical situation in the field of psychiatry. Since there has been a tendency to loosely define psychiatric disorders as ones without a known aetiology, the discovery of an aetiology for psychiatric syndromes (e.g. 22q11.2 deletion syndrome in some cases of schizophrenia), while offering a path toward more precise treatments, may also lead to their reclassification away from psychiatry. We contend that psychiatric disorders with a known aetiology should not be removed from the field of psychiatry. This knowledge should be used instead to guide treatment, inasmuch as psychotherapies, pharmacotherapies and other treatments can all be valid approaches to mental disorders. The translation of the personalized clinical approach inherent to psychiatry into evidence-based precision medicine can lead to the development of novel treatment options for mental disorders and improve outcomes.

Indexed as

HumansMental DisordersPrecision MedicinePsychiatry22q11.2 deletion syndromePersonalized medicinepsychiatryrisk-prediction modelsschizophrenia

Identifiers

PMID27334937
PMCPMC5182164

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Registered trials

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.