Evidence map›Paper›PMID 31004211›Full record

ArticleJournal of neurology2019

In search of distinct MS-related fatigue subtypes: results from a multi-cohort analysis in 1.403 MS patients.

Gesa E A Pust, Jana Pöttgen, Jennifer Randerath, Stephanie Lau, Christoph Heesen, Stefan M Gold, Iris-Katharina Penner

Abstract read
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In one paragraph

Article in Journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. 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.

Gesa E A PustInstitut für Neuroimmunologie und Multiple Sklerose (INIMS), Zentrum für Molekulare Neurobiologie Hamburg (ZMNH), Universitätsklinikum Hamburg Eppendorf, Hamburg, Germany.
Jana PöttgenInstitut für Neuroimmunologie und Multiple Sklerose (INIMS), Zentrum für Molekulare Neurobiologie Hamburg (ZMNH), Universitätsklinikum Hamburg Eppendorf, Hamburg, Germany.
Jennifer RanderathDepartment of Psychology, University of Konstanz, Constance, Germany.
Stephanie LauInstitut für Neuroimmunologie und Multiple Sklerose (INIMS), Zentrum für Molekulare Neurobiologie Hamburg (ZMNH), Universitätsklinikum Hamburg Eppendorf, Hamburg, Germany.
Christoph HeesenInstitut für Neuroimmunologie und Multiple Sklerose (INIMS), Zentrum für Molekulare Neurobiologie Hamburg (ZMNH), Universitätsklinikum Hamburg Eppendorf, Hamburg, Germany.
Stefan M GoldInstitut für Neuroimmunologie und Multiple Sklerose (INIMS), Zentrum für Molekulare Neurobiologie Hamburg (ZMNH), Universitätsklinikum Hamburg Eppendorf, Hamburg, Germany.ORCID http://orcid.org/0000-0001-5188-4799
Iris-Katharina PennerDepartment of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. Iris-Katharina.Penner@uni-duesseldorf.de.ORCID http://orcid.org/0000-0002-6746-1034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatigue is among the most disabling symptoms in patients with multiple sclerosis (PwMS). The common distinction between cognitive and motor fatigue is typically incorporated in self-rating instruments, such as the Chalder Fatigue Questionnaire (CFQ), the Fatigue Scale for Motor and Cognitive Functions (FSMC) or the Modified Fatigue Impact Scale (MFIS). The present study investigated the factor structure of the CFQ, the FSMC and the MFIS utilizing exploratory (EFA) and confirmatory factor analysis (CFA) as well as exploratory structural equation modeling (ESEM). Data of 1.403 PwMS were analyzed, utilizing four samples. The first sample (N = 605) was assessed online and split into two stratified halves to perform EFA, CFA, and ESEM on the CFQ and FSMC. The second sample (N = 293) was another online sample. It served to calculate CFA and ESEM on the CFQ and FSMC. The third sample was gathered in a clinical setting (N = 196) and analyzed by applying CFA and ESEM to the FSMC. The fourth sample (N = 309) was assessed in a clinical setting and allowed to run a CFA and ESEM on the MFIS. Proposed factor structures of all questionnaires were largely confirmed in EFA. However, none of the calculated CFAs and ESEMs could verify the proposed factor structures of the three measures, even with oblique rotation techniques. The findings might have implications for future research into the pathophysiological basis of MS-related fatigue and could affect the suitability of such measures as outcomes for treatment trials, presumably targeting specific sub-components of fatigue.

Indexed as

Databases, FactualSurveys and QuestionnairesAdultCohort StudiesFatigueFemaleHumansMaleMiddle AgedMultiple SclerosisAssessmentFatigueMultiple sclerosisValidation

Identifiers

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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.