Evidence map›Paper›PMID 37140729›Full record

ArticleJournal of neurology2023

Self-reported life-space mobility in the first year after ischemic stroke: longitudinal findings from the MOBITEC-Stroke project.

Timo Hinrichs, Roland Rössler, Denis Infanger, Robert Weibel, Janine Schär, Eva-Maria Peters, Erja Portegijs, Taina Rantanen, Arno Schmidt-Trucksäss, Stefan T Engelter and 1 more

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In one paragraph

Article in Journal of neurology, 2023. 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
4.4field-weighted citation impact, top 6% 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, 6 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

11 authors at 4 institutions in 4 countries.

Timo HinrichsDivision of Sport and Exercise Medicine, Department of Sport, Exercise, and Health, University of Basel, Grosse Allee 6, 4052, Basel, Switzerland. timo.hinrichs@unibas.ch.ORCID http://orcid.org/0000-0001-6200-307X
Roland RösslerDivision of Sport and Exercise Medicine, Department of Sport, Exercise, and Health, University of Basel, Grosse Allee 6, 4052, Basel, Switzerland.
Denis InfangerDivision of Sport and Exercise Medicine, Department of Sport, Exercise, and Health, University of Basel, Grosse Allee 6, 4052, Basel, Switzerland.
Robert WeibelDepartment of Geography, University of Zurich, Zurich, Switzerland.
Janine SchärNeurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter, University of Basel, Basel, Switzerland.
Eva-Maria PetersNeurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter, University of Basel, Basel, Switzerland.
Erja PortegijsCenter for Human Movement Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Taina RantanenFaculty of Sport and Health Sciences and Gerontology Research Center, University of Jyvaskyla, Jyväskylä, Finland.
Arno Schmidt-TrucksässDivision of Sport and Exercise Medicine, Department of Sport, Exercise, and Health, University of Basel, Grosse Allee 6, 4052, Basel, Switzerland.
Stefan T EngelterNeurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter, University of Basel, Basel, Switzerland.
Nils PetersNeurology and Neurorehabilitation, University Department of Geriatric Medicine Felix Platter, University of Basel, Basel, Switzerland.
University of Basel · CHUniversity Medical Center Groningen · NLUniversity of Jyväskylä · FIUniversity of Zurich · CH

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 182681
6 · The paper itself

Abstract

backgroundLife-space mobility is defined as the size of the area in which a person moves about within a specified period of time. Our study aimed to characterize life-space mobility, identify factors associated with its course, and detect typical trajectories in the first year after ischemic stroke.

methodsMOBITEC-Stroke (ISRCTN85999967; 13/08/2020) was a cohort study with assessments performed 3, 6, 9 and 12 months after stroke onset. We applied linear mixed effects models (LMMs) with life-space mobility (Life-Space Assessment; LSA) as outcome and time point, sex, age, pre-stroke mobility limitation, stroke severity (National Institutes of Health Stroke Scale; NIHSS), modified Rankin Scale, comorbidities, neighborhood characteristics, availability of a car, Falls Efficacy Scale-International (FES-I), and lower extremity physical function (log-transformed timed up-and-go; TUG) as independent variables. We elucidated typical trajectories of LSA by latent class growth analysis (LCGA) and performed univariate tests for differences between classes.

resultsIn 59 participants (mean age 71.6, SD 10.0 years; 33.9% women), mean LSA at 3 months was 69.3 (SD 27.3). LMMs revealed evidence (p ≤ 0.05) that pre-stroke mobility limitation, NIHSS, comorbidities, and FES-I were independently associated with the course of LSA; there was no evidence for a significant effect of time point. LCGA revealed three classes: "low stable", "average stable", and "high increasing". Classes differed with regard to LSA starting value, pre-stroke mobility limitation, FES-I, and log-transformed TUG time.

conclusionRoutinely assessing LSA starting value, pre-stroke mobility limitation, and FES-I may help clinicians identify patients at increased risk of failure to improve LSA.

Indexed as

Ischemic StrokeStrokeActivities of Daily LivingAgedCohort StudiesFemaleHumansMaleMobility LimitationSelf ReportCohort studiesMobility limitationPhysical functional performanceSocial participationSpatial behavior

Identifiers

PMID37140729
PMCPMC10157571
OpenAlexW4368355990

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.