Evidence map›Paper›PMID 36978160›Full record

ArticleBMC psychiatry2023

Psychometric and clinical evaluation of schizophrenia remission criteria in outpatients with psychotic disorders.

Karolina Sakinyte, Christopher Holmberg

Abstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Putative glymphatic function and free water in schizophrenia: A 7T DTI study across psychosis stages.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Karolina SakinyteDepartment of Psychotic Disorders, Sahlgrenska University Hospital, Gothenburg, Sweden. karolina.sakinyte@gmail.com.
Christopher HolmbergDepartment of Psychotic Disorders, Sahlgrenska University Hospital, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychotic disorders such as schizophrenia have debilitating effects on health and functioning. Given symptomatic remission's recent emergence as a viable treatment goal, the Remission in Schizophrenia Working Group's criteria (RSWG-cr), based on eight items from the Positive and Negative Syndrome Scale (PANSS-8), are frequently used in clinical and research settings. Against that background, we sought to evaluate the PANSS-8's psychometric properties and examine the RSWG-cr's clinical validity among outpatients in Sweden.

methodsCross-sectional register data were collected from outpatient psychosis clinics in Gothenburg, Sweden. Following confirmatory and exploratory factor analyses of PANSS-8 data (n = 1,744) to assess the PANSS-8's psychometric properties, internal reliability was evaluated using Cronbach's alpha. Next, 649 of the patients were classified according to the RSWG-cr and their clinical and demographic characteristics compared. Binary logistic regression was used to estimate odds ratios (OR) and assess each variable's impact on remission status.

resultsThe PANSS-8 showed good reliability (α = .85), and the 3D model of psychoticism, disorganization, and negative symptoms presented the best model fit. According to the RSWG-cr, 55% of the 649 patients were in remission; they were also more likely to live independently, be employed, not smoke, not take antipsychotics, and have recently received a health interview and physical examination. Patients living independently (OR = 1.98), who were employed (OR = 1.89), who were obese (OR = 1.61), and who had recently received a physical examination (OR = 1.56) also had an increased likelihood of remission.

conclusionsThe PANSS-8 is internally reliable, and, according to the RSWG-cr, remission is associated with variables of interest for patients' recovery, including living independently and being employed. Although our findings from a large, heterogeneous sample of outpatients reflect everyday clinical practice and reinforce past observations, the directions of those relationships need to be assessed in longitudinal studies.

Indexed as

Psychotic DisordersSchizophreniaCross-Sectional StudiesHumansOutpatientsPsychiatric Status Rating ScalesPsychometricsReproducibility of ResultsFactor analysisOutcome measurePsychotic disorderRemissionSchizophreniaValidation study

Identifiers

PMID36978160
PMCPMC10052840

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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.