Evidence map›Paper›PMID 35972557›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2023

Bridge centrality network structure of negative symptoms in people with schizophrenia.

Ling-Ling Wang, Michelle H W Tam, Karen K Y Ho, Karen S Y Hung, Jessica O Y Wong, Simon S Y Lui, Raymond C K Chan

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Article in European archives of psychiatry and clinical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Treatment of negative symptoms in schizophrenia: a challenge for clinical research.European archives of psychiatry and clinical neuroscience · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ling-Ling Wang *Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, China.ORCID http://orcid.org/0000-0002-4648-5790
Michelle H W Tam *Castle Peak Hospital, Hong Kong Special Administrative Region, China.
Karen K Y HoCastle Peak Hospital, Hong Kong Special Administrative Region, China.
Karen S Y HungCastle Peak Hospital, Hong Kong Special Administrative Region, China.
Jessica O Y WongCastle Peak Hospital, Hong Kong Special Administrative Region, China.
Simon S Y LuiDepartment of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China. lsy570@hku.hk.ORCID http://orcid.org/0000-0001-9360-6244
Raymond C K ChanNeuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, China. rckchan@psych.ac.cn.ORCID http://orcid.org/0000-0002-3414-450X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Negative symptoms are complex psychopathology. Although evidence generally supported the NIMH five consensus domains, research seldom examined measurement invariance of this model, and domain-specific correspondence across multiple scales. This study aimed to examine the interrelationship between negative symptom domains captured by different rating scales, and to examine the domain-specific correspondence across multiple scales. We administered the Brief Negative Symptom Scale (BNSS), the Self-evaluation of Negative Symptoms (SNS), and the Scale for Assessment of Negative Symptoms (SANS) to 204 individuals with schizophrenia. We used network analysis to examine the interrelationship between negative symptom domains. Besides regularized partial correlation network, we estimated bridge centrality indices to investigate domain-specific correspondence, while taking each scale as an independent community. The regularized partial correlation network showed that the SNS nodes clustered together, whereas the SANS and the BNSS nodes intermingled together. The SANS attention domain lied at the periphery of the network according to the Fruchterman-Reingold algorithm. The SANS anhedonia-asociality (strength = 1.48; EI = 1.48) and the SANS affective flattening (strength = 1.06; EI = 1.06) had the highest node strength and EI. Moreover, the five nodes of the BNSS bridged the nodes of the SANS and the SNS. BNSS blunted affect (strength = 0.76; EI = 0.76) and SANS anhedonia-asociality (strength = 0.76; EI = 0.74) showed the highest bridge strength and bridge EI. The BNSS captures negative symptoms and bridges the symptom domains measured by the SANS and the SNS. The three scales showed domain-specific correspondence.

Indexed as

Behavioral SymptomsPsychiatric Status Rating ScalesSchizophreniaAdultAlgorithmsAnhedoniaCorrelation of DataFemaleHumansMaleMiddle AgedPsychopathologySchizophrenic PsychologySelf ReportBridge centralityMeasurement invarianceNegative symptomsNetwork analysis

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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.