Evidence map›Paper›PMID 37310330›Full record

ArticlePsychological medicine2023

Context

Jim van Os, Lotta-Katrin Pries, Margreet Ten Have, Ron de Graaf, Saskia van Dorsselaer, Maarten Bak, Gunter Kenis, Bochao D Lin, Nicole Gunther, Jurjen J Luykx and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 5 institutions in 3 countries.

Jim van OsDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands.ORCID 0000-0002-7245-1586
Lotta-Katrin PriesDepartment of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Margreet Ten HaveDepartment of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands.
Ron de GraafDepartment of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands.
Saskia van DorsselaerDepartment of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands.
Maarten BakDepartment of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Gunter KenisDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands.
Bochao D LinDepartment of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Nicole GuntherSchool of Psychology, Open University, Heerlen, The Netherlands.
Jurjen J LuykxDepartment of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Bart P F RuttenDepartment of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Sinan GuloksuzDepartment of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Utrecht University · NLTrimbos Institute · NLKing's College London · GBMaastricht University Medical Centre · NLOpen University of the Netherlands · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA transdiagnostic and contextual framework of 'clinical characterization', combining clinical, psychopathological, sociodemographic, etiological, and other personal contextual data, may add clinical value over and above categorical algorithm-based diagnosis.

methodsPrediction of need for care and health care outcomes was examined prospectively as a function of the contextual clinical characterization diagnostic framework in a prospective general population cohort (

resultsAny prediction of DSM-diagnosis in relation to need and outcome in separate models was entirely reducible to components of contextual clinical characterization in joint models, particularly the component of transdiagnostic symptom dimensions (a simple score of the number of anxiety, depression, mania, and psychosis symptoms) and staging (subthreshold, incidence, persistence), and to a lesser degree clinical factors (early adversity, family history, suicidality, slowness at interview, neuroticism, and extraversion), and sociodemographic factors. Clinical characterization components in combination predicted more than any component in isolation. PRS did not meaningfully contribute to any clinical characterization model.

conclusionA transdiagnostic framework of contextual clinical characterization is of more value to patients than a categorical system of algorithmic ordering of psychopathology.

Indexed as

AlgorithmsAnxietyAnxiety DisordersDiagnostic and Statistical Manual of Mental DisordersHumansProspective StudiesdepressionDiagnosisgeneticsmental healthpsychosissymptoms

Identifiers

PMID37310330
PMCPMC10106290
OpenAlexW3195559280

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.