Evidence map›Paper›PMID 32010940›Full record

ArticleSchizophrenia bulletin2020

Main Symptomatic Treatment Targets in Suspected and Early Psychosis: New Insights From Network Analysis.

Natalia Jimeno, Javier Gomez-Pilar, Jesus Poza, Roberto Hornero, Kai Vogeley, Eva Meisenzahl, Theresa Haidl, Marlene Rosen, Joachim Klosterkötter, Frauke Schultze-Lutter

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 42 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Natalia JimenoDepartment of Psychiatry, School of Medicine University of Valladolid, Valladolid, Spain.
Javier Gomez-PilarBiomedical Engineering Group, University of Valladolid, Valladolid, Spain.
Jesus PozaBiomedical Engineering Group, University of Valladolid, Valladolid, Spain.
Roberto HorneroBiomedical Engineering Group, University of Valladolid, Valladolid, Spain.
Kai VogeleyDepartment of Psychiatry, Faculty of Medicine and University Hospital Cologne University of Cologne, Cologne, Germany.
Eva MeisenzahlDepartment of Psychiatry and Psychotherapy, Medical Faculty Heinrich-Heine University, Düsseldorf, Germany.
Theresa HaidlDepartment of Psychiatry, Faculty of Medicine and University Hospital Cologne University of Cologne, Cologne, Germany.
Marlene RosenDepartment of Psychiatry, Faculty of Medicine and University Hospital Cologne University of Cologne, Cologne, Germany.
Joachim KlosterkötterDepartment of Psychiatry, Faculty of Medicine and University Hospital Cologne University of Cologne, Cologne, Germany.
Frauke Schultze-LutterDepartment of Psychiatry and Psychotherapy, Medical Faculty Heinrich-Heine University, Düsseldorf, Germany.
Universidad de Valladolid · ESUniversity of Cologne · DEHeinrich Heine University Düsseldorf · DEForschungszentrum Jülich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early detection and intervention in psychoses prior to their first episode are presently based on the symptomatic ultra-high-risk and the basic symptom criteria. Current models of symptom development assume that basic symptoms develop first, followed by attenuated and, finally, frank psychotic symptoms, though interrelations of these symptoms are yet unknown. Therefore, we studied for the first time their interrelations using a network approach in 460 patients of an early detection service (mean age = 26.3 y, SD = 6.4; 65% male; n = 203 clinical high-risk [CHR], n = 153 first-episode psychosis, and n = 104 depression). Basic, attenuated, and frank psychotic symptoms were assessed using the Schizophrenia Proneness Instrument, Adult version (SPI-A), the Structured Interview for Psychosis-Risk Syndromes (SIPS), and the Positive And Negative Syndrome Scale (PANSS). Using the R package qgraph, network analysis of the altogether 86 symptoms revealed a single dense network of highly interrelated symptoms with 5 discernible symptom subgroups. Disorganized communication was the most central symptom, followed by delusions and hallucinations. In line with current models of symptom development, the network was distinguished by symptom severity running from SPI-A via SIPS to PANSS assessments. This suggests that positive symptoms developed from cognitive and perceptual disturbances included basic symptom criteria. Possibly conveying important insight for clinical practice, central symptoms, and symptoms "bridging" the association between symptom subgroups may be regarded as the main treatment targets, in order to prevent symptomatology from spreading or increasing across the whole network.

Indexed as

AdolescentAdultCognitive DysfunctionDelusionsDepressionEarly DiagnosisFemaleHallucinationsHumansMalePsychotic DisordersSchizophreniaSeverity of Illness IndexSocial InteractionYoung Adultattenuated psychotic symptomsbasic symptomsdepressionpsychopathologyschizophreniasymptom dimensions

Identifiers

PMID32010940
PMCPMC7345824
OpenAlexW3005313354

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.