Evidence map›Paper›PMID 37674282›Full record

ArticleBJPsych open2023

The structure stability of negative symptoms: longitudinal network analysis of the Brief Negative Symptom Scale in people with schizophrenia.

Paola Rucci, Edoardo Caporusso, Francesco Sanmarchi, Giulia M Giordano, Armida Mucci, Luigi Giuliani, Pasquale Pezzella, Andrea Perrottelli, Paola Bucci, Paola Rocca and 5 more

Abstract read
In one paragraph

Article in BJPsych open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

12 citing papers in PubMed.

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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

15 authors.

Paola RucciDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Edoardo CaporussoDepartment of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Italy.ORCID https://orcid.org/0000-0003-4980-0466
Francesco SanmarchiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
Giulia M GiordanoDepartment of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Italy.
Armida MucciDepartment of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Italy.
Luigi GiulianiDepartment of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Italy.
Pasquale PezzellaDepartment of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Italy.
Andrea PerrottelliDepartment of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Italy.
Paola BucciDepartment of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Italy.
Paola RoccaDepartment of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy.ORCID https://orcid.org/0000-0002-6414-3559
Alessandro RossiDepartment of Biotechnological and Applied Clinical Sciences, Section of Psychiatry, University of L'Aquila, L'Aquila, Italy.
Alessandro BertolinoDepartment of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy.
Silvana GalderisiDepartment of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Italy.ORCID https://orcid.org/0000-0002-1592-7656
Mario MajDepartment of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Italy.
Italian Network for Research on Psychoses

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe structure of negative symptoms of schizophrenia is still a matter of controversy. Although a two-dimensional model (comprising the expressive deficit dimension and the motivation and pleasure dimension) has gained a large consensus, it has been questioned by recent investigations.

aimsTo investigate the latent structure of negative symptoms and its stability over time in people with schizophrenia using network analysis.

methodNegative symptoms were assessed in 612 people with schizophrenia using the Brief Negative Symptom Scale (BNSS) at baseline and at 4-year follow-up. A network invariance analysis was conducted to investigate changes in the network structure and strength of connections between the two time points.

resultsThe network analysis carried out at baseline and follow-up, supported by community detection analysis, indicated that the BNSS's items aggregate to form four or five distinct domains (avolition/asociality, anhedonia, blunted affect and alogia). The network invariance test indicated that the network structure remained unchanged over time (network invariance test score 0.13;

conclusionsThe results lend support to a four- or five-factor model of negative symptoms and indicate overall stability over time. These data have implications for the study of pathophysiological mechanisms and the development of targeted treatments for negative symptoms.

Indexed as

Brief Negative Symptom Scalenegative symptomsnetwork analysisSchizophreniastructure stability

Identifiers

PMID37674282
PMCPMC10594087

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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.