Evidence map›Paper›PMID 31087062›Full record

ArticlePhysical therapy2019

Automatized, Standardized, and Patient-Tailored Progressive Walking-Adaptability Training: A Proof-of-Concept Study.

Celine Timmermans, Melvyn Roerdink, Thomas W J Janssen, Peter J Beek, Carel G M Meskers

Open access · bronzeAbstract read
In one paragraph

Article in Physical therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

5 authors at 2 institutions in 1 country.

Celine TimmermansDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Van der Boechorststraat 9, Amsterdam 1081 BT; and Amsterdam Rehabilitation Research Center, Reade, Amsterdam, the Netherlands.
Melvyn RoerdinkDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences.
Thomas W J JanssenDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, and Amsterdam Rehabilitation Research Center.
Peter J BeekDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences.
Carel G M MeskersDepartment of Rehabilitation Medicine, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences.
Vrije Universiteit Amsterdam · NLAmsterdam Institute for Addiction Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreadmill training augmented with visual images projected on the belt's surface can help improve walking adaptability. Moreover, patient-tailored automatization and standardization can increase the feasibility of walking-adaptability therapy. We developed C-Gait, a treadmill protocol consisting of a baseline walking-adaptability assessment involving 7 putatively distinct walking-adaptability tasks and a decision algorithm, to automatically update training content and execution parameters to a patients' performance and perceived challenge.

objectivesThe main objective was to examine the feasibility, acceptability, and clinical potential of C-Gait training. The secondary objective was to evaluate the validity of the baseline assessment.

designThis was a longitudinal proof-of-concept study with pretraining, posttraining, and retention tests encompassing baseline assessment and walking-related clinical measures.

methodsTwenty-four healthy adults, 12 healthy older persons, and 28 patients with gait and/or balance deficits performed the baseline assessment; the gait deficit group received 10 C-Gait training sessions over a 5-week period. Baseline assessment scores and walking-related clinical measures served as outcome measures.

resultsC-Gait training exhibited significant progression in training content and execution, with considerable between-patient variation and minimal overruling by therapists. C-Gait training was well accepted and led to improvements in walking adaptability and general walking ability, which persisted after training cessation. Baseline assessment scores differed over groups and difficulty levels, had no-to-moderate correlations with walking-related clinical measures, and had limited correlations among walking-adaptability tasks. LIMITATIONS: C-Gait was evaluated in a small yet diverse cohort. More encompassing studies are required to further establish its apparent merits. The validity of treadmill-based walking-adaptability assessment against an overground standard remains to be established.

conclusionsC-Gait offers automatized, standardized, and patient-tailored walking-adaptability training that is feasible and well accepted, with good potential for improving task-specific and generic measures of walking.

Indexed as

Adaptation, PhysiologicalAlgorithmsDisability EvaluationExercise TestExercise TherapyFeasibility StudiesFemaleHumansLongitudinal StudiesMaleNetherlandsPhysical Therapy ModalitiesPostural BalanceProof of Concept StudyWalking

Identifiers

PMID31087062
PMCPMC6602157
OpenAlexW2945529702

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.