Evidence map›Paper›PMID 37340804›Full record

ArticleActa neuropsychiatrica2023

Predictors of within-individual variability in cognitive performance in schizophrenia in a South African case-control study.

Olivia Wootton, Shareefa Dalvie, Rae MacGinty, Linda Ngqengelele, Ezra S Susser, Ruben C Gur, Dan J Stein

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Acta neuropsychiatrica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 87% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

7 authors at 4 institutions in 2 countries.

Olivia WoottonDepartment of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-2433-4975
Shareefa DalvieUCT MRC Genomic and Precision Medicine Research Unit, Division of Human Genetics, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Rae MacGintyDepartment of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa.
Linda NgqengeleleDepartment of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
Ezra S SusserDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Ruben C GurBrain Behavior Laboratories, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Dan J SteinDepartment of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa.
University of Cape Town · ZANew York Psychoanalytic Society and Institute · USSouth African Medical Research Council · ZAUniversity of Pennsylvania · US

Funding

3/3 Genomics of Schizophrenia in the South African XhosaU01MH125053 · NIMH · UNIVERSITY OF CAPE TOWN · PI STEIN, DAN JOSEPH · 2021 to 2025
$3.5M
3/3 GENOMICS OF SCHIZOPHRENIA IN THE SOUTH AFRICAN XHOSAU01MH096754 · NIMH · UNIVERSITY OF CAPE TOWN · PI STEIN, DAN JOSEPH · 2013 to 2017
$3.2M
NIMH NIH HHS U01 MH096754NIMH NIH HHS U01 MH125053
6 · The paper itself

Abstract

introductionCognitive dysfunction in schizophrenia may be assessed by measuring within-individual variability (WIV) in performance across a range of cognitive tests. Previous studies have found increased WIV in people with schizophrenia, but no studies have been conducted in low- to middle-income countries where the different sociocultural context may affect WIV. We sought to address this gap by exploring the relationship between WIV and a range of clinical and demographic variables in a large study of people with schizophrenia and matched controls in South Africa.

methods544 people with schizophrenia and 861 matched controls completed an adapted version of The University of Pennsylvania Computerized Neurocognitive Battery (PennCNB). Demographic and clinical information was collected using the Structured Clinical Interview for DSM-IV Diagnoses. Across-task WIV for performance speed and accuracy on the PennCNB was calculated. Multivariate linear regression was used to assess the relationship between WIV and a diagnosis of schizophrenia in the whole sample, and WIV and selected demographic and clinical variables in people with schizophrenia.

resultsIncreased WIV of performance speed across cognitive tests was significantly associated with a diagnosis of schizophrenia. In people with schizophrenia, increased speed WIV was associated with older age, a lower level of education and a lower score on the Global Assessment of Functioning scale. Increased accuracy WIV was significantly associated with a younger age in people with schizophrenia.

conclusionsMeasurements of WIV of performance speed can add to the knowledge gained from studies of cognitive dysfunction in schizophrenia in resource-limited settings.

Indexed as

Cognition disordersHumansNeuropsychological testsSchizophreniaWithin-individual variability

Identifiers

PMID37340804
PMCPMC10733548
OpenAlexW4381469290

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Registered trials

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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.