Evidence map›Paper›PMID 30831571›Full record

ArticleMedical principles and practice : international journal of the Kuwait University, Health Science Centre2019

Differentiation of Cognitive Deficit Profiles in Multiple Sclerosis Patients: Latent Profile Analysis.

Sanela Slavković, Milica Lazić, Cynthia Honan, Čongor Nađ, Nina Brkić-Jovanović, Špela Golubović

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Article in Medical principles and practice : international journal of the Kuwait University, Health Science Centre, 2019. 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
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

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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

1 citing paper in PubMed.

  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

6 authors.

Sanela SlavkovićDepartment of Special Education and Rehabilitation, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia, sanela.slavkovic@mf.uns.ac.rs.
Milica LazićDepartment of Psychology, Faculty of Philosophy, University of Novi Sad, Novi Sad, Serbia.
Cynthia HonanFaculty of Health, School of Medicine, University of Tasmania, Hobart, Tasmania, Australia.
Čongor NađDepartment of Neurology, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Nina Brkić-JovanovićDepartment of Psychology, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Špela GolubovićDepartment of Special Education and Rehabilitation, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to ascertain whether the application of the Audio Recorded Cognitive Screen (ARCS) in cognitive functioning screening of persons with multiple sclerosis (MS) differentiates profiles of existing cognitive deficits (CDs) and whether this instrument can discriminate accurately between subjects who are cognitively intact (CI) and those with a cognitive disorder. SUBJECTS AND

methodsThe research was conducted on a sample of 359 subjects, with two subsets of participants: 108 persons with a relapsing-remitting form of MS and 251 persons from the general population.

resultsWe labeled the three profiles obtained by applying the ARCS questionnaire: the CI profile, the profile of CI with visuospatial difficulties, and the profile of persons with CD.

conclusionARCS has the ability to differentiate persons with a CD from those without, both in a sample of persons suffering from MS and in a sample of persons from the general population. This finding indicates that this instrument is well suited for profiling the cognitive status into specific categories, which puts it among the instruments with a wide range of implementation.

Indexed as

AdultAttentionCognition DisordersFemaleHumansLanguageMaleMemoryMiddle AgedMultiple Sclerosis, Relapsing-RemittingNeuropsychological TestsSpace PerceptionVisual PerceptionYoung AdultCognitive abilityDiagnosticMultiple sclerosisPrognosis

Identifiers

PMID30831571
PMCPMC6639583

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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.