Evidence map›Paper›PMID 40459010›Full record

ArticleJournal of rehabilitation medicine2025

A Delphi study to identify key gait patterns and their potential causes in people with multiple sclerosis.

Sjoerd T Timmermans, Marjolein M Van der Krogt, Marc B Rietberg, Heleen Beckerman, Vincent De Groot

Abstract read
In one paragraph

Article in Journal of rehabilitation medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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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

2 citing papers in PubMed.

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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

5 authors.

Sjoerd T TimmermansAmsterdam UMC location Vrije Universiteit Amsterdam, Rehabilitation Medicine, Amsterdam, The Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands; MS Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, The Netherlands. sj.timmermans@amsterdamumc.nl.
Marjolein M Van der KrogtAmsterdam UMC location Vrije Universiteit Amsterdam, Rehabilitation Medicine, Amsterdam, The Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands.
Marc B RietbergAmsterdam UMC location Vrije Universiteit Amsterdam, Rehabilitation Medicine, Amsterdam, The Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands; MS Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, The Netherlands.
Heleen BeckermanAmsterdam UMC location Vrije Universiteit Amsterdam, Rehabilitation Medicine, Amsterdam, The Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands; MS Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, The Netherlands.
Vincent De GrootAmsterdam UMC location Vrije Universiteit Amsterdam, Rehabilitation Medicine, Amsterdam, The Netherlands; Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands; MS Center Amsterdam, Amsterdam UMC location Vrije Universiteit Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to identify characteristic gait patterns in people with multiple sclerosis, to describe their key characteristics, and to identify their potential underlying causes.

designa 3-round Delphi study.

participantsAn international panel of 20 experts, including physiotherapists, a neurologist, rehabilitation physicians, biomechanical engineers, and movement scientists with expertise in multiple sclerosis or gait analysis.

methodsA comprehensive list of gait characteristics and underlying impairments was compiled and analysed to identify common gait patterns and their primary features and potential causes. Consensus was defined as 67% agreement.

resultsConsensus was reached on 6 gait patterns in multiple sclerosis: (i) drop foot; (ii) insufficient push-off; (iii) stiff knee during swing; (iv) knee hyperextension during stance; (i) knee flexion in midstance; and (vi) enhanced gait variability. At least 69% agreement was achieved on the naming of the final gait patterns, their key characteristics, and the potential causes of each pattern.

conclusionConsensus was achieved on 6 gait patterns, their characteristics, and potential underlying causes. The identification of these gait patterns may support clinical decision-making regarding diagnostic and treatment measures, and deepen understanding of impairments that underlie walking problems in people with multiple sclerosis.

Indexed as

GaitGait Disorders, NeurologicMultiple SclerosisAdultBiomechanical PhenomenaConsensusDelphi TechniqueFemaleGait AnalysisHumansMaleMiddle Aged

Identifiers

PMID40459010
PMCPMC12159873

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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.