Evidence map›Paper›PMID 31443714›Full record

ArticleJournal of neuroengineering and rehabilitation2019

Three distinct physical behavior types in fatigued patients with multiple sclerosis.

H E M Braakhuis, M A M Berger, G A van der Stok, J van Meeteren, V de Groot, H Beckerman, J B J Bussmann, TREFAMS-ACE study group

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 9 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

8 authors at 2 institutions in 1 country.

H E M BraakhuisDepartment of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands. h.braakhuis@erasmusmc.nl.
M A M BergerFaculty of Health Nutrition and Sport, The Hague University of Applied Sciences, The Hague, The Netherlands.
G A van der StokDepartment of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
J van MeeterenDepartment of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
V de GrootDepartment of Rehabilitation Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
H BeckermanDepartment of Rehabilitation Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
J B J BussmannDepartment of Rehabilitation Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
TREFAMS-ACE study group
Erasmus MC · NLAmsterdam University Medical Centers · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple sclerosis often leads to fatigue and changes in physical behavior (PB). Changes in PB are often assumed as a consequence of fatigue, but effects of interventions that aim to reduce fatigue by improving PB are not sufficient. Since the heterogeneous nature of MS related symptoms, levels of PB of fatigued patients at the start of interventions might vary substantially. Better understanding of the variability by identification of PB subtypes in fatigued patients may help to develop more effective personalized rehabilitation programs in the future. This study aimed to identify PB subtypes in fatigued patients with multiple sclerosis based on multidimensional PB outcome measures.

methodsBaseline accelerometer (Actigraph) data, demographics and clinical characteristics of the TREFAMS-ACE participants (n = 212) were used for secondary analysis. All patients were ambulatory and diagnosed with severe fatigue based on a score of ≥35 on the fatigue subscale of the Checklist Individual Strength (CIS20r). Fifteen PB measures were used derived from 7 day measurements with an accelerometer. Principal component analysis was performed to define key outcome measures for PB and two-step cluster analysis was used to identify PB types.

resultsAnalysis revealed five key outcome measures: percentage sedentary behavior, total time in prolonged moderate-to-vigorous physical activity, number of sedentary bouts, and two types of change scores between day parts (morning, afternoon and evening). Based on these outcomes three valid PB clusters were derived.

conclusionsPatients with severe MS-related fatigue show three distinct and homogeneous PB subtypes. These PB subtypes, based on a unique set of PB outcome measures, may offer an opportunity to design more individually-tailored interventions in rehabilitation.

trial registrationClinical trial registration no ISRCTN 82353628 , ISRCTN 69520623  and  ISRCTN 58583714 .

Indexed as

BehaviorAccelerometryAdolescentAdultAgedCluster AnalysisCross-Sectional StudiesFatigueFemaleHumansMaleMiddle AgedMultiple SclerosisPrincipal Component AnalysisYoung AdultCluster analysisMultiple sclerosisPhysical behaviorPrincipal component analysis

Identifiers

PMID31443714
PMCPMC6708224
OpenAlexW2969817164

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.