Evidence map›Paper›PMID 34392392›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

The clinical and paraclinical correlates of employment status in multiple sclerosis.

Barbora Srpova, Lukas Sobisek, Klara Novotna, Tomas Uher, Lucie Friedova, Manuela Vaneckova, Jan Krasensky, Eva Kubala Havrdova, Dana Horakova

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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. 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
1.1field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Barbora SrpovaDepartment of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Prague, Czech Republic. barbora.srpova@vfn.cz.ORCID http://orcid.org/0000-0002-8092-6625
Lukas SobisekDepartment of Statistics and Probability, University of Economics in Prague, Prague, Czech Republic.
Klara NovotnaDepartment of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Prague, Czech Republic.
Tomas UherDepartment of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Prague, Czech Republic.
Lucie FriedovaDepartment of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Prague, Czech Republic.
Manuela VaneckovaDepartment of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
Jan KrasenskyDepartment of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
Eva Kubala HavrdovaDepartment of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Prague, Czech Republic.
Dana HorakovaDepartment of Neurology and Center of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University, Prague, Czech Republic.
Charles University · CZPrague University of Economics and Business · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify the clinical and paraclinical markers of employment status in multiple sclerosis (MS).

methodsThis was a cross-sectional sub-study investigating 1226 MS patients. To minimalized confounding effect, two groups of patients, matched by sex, age, and education, were selected: 307 patients with full time employment and 153 unemployed patients receiving disability pension. We explored associations between employment status and Expanded Disability Status Scale (EDSS), 25 Foot Walk Test (25FWT), Nine Hole Peg Test (9HPT), Brief International Cognitive Assessment for MS (BICAMS), Paced Auditory Serial Addition Test (PASAT), Beck Depression Inventory (BDI), SLOAN charts (SLOAN), and brain volumetric MRI measures.

resultsBoth groups differed significantly on all variables of interest (p < 0.001). In the univariate analyses, EDSS, SDMT (Symbol Digit Modalities Test) adjusted for BDI, 25FWT, and 9HPT best explained variability in vocational status. In multivariate analyses, the combination of EDSS, 25FWT, SDMT, BDI, and corpus callosum fraction (CCF) explained the greatest variability. As a next step, after patients were matched by EDSS, differences in SDMT, 25FWT (both p < 0.001), 9HPT, CCF, and T2 lesion volume were still present (all p < 0.005) between both groups. The best multivariate model consisted of SDMT, BDI, and T2 lesion volume.

conclusionsEDSS, walking ability, cognitive performance, and MRI volumetric parameters are independently associated with employment status.

Indexed as

Multiple SclerosisCross-Sectional StudiesDisability EvaluationEmploymentHumansMagnetic Resonance ImagingNeuropsychological TestsCognitive impairmentEmployment statusGait impairmentMRIMultiple sclerosisWork disability

Identifiers

PMID34392392
OpenAlexW3194542007

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.