Evidence map›Paper›PMID 35680785›Full record

ArticleSpinal cord series and cases2022

The effect of Functional Electrical Stimulation-assisted posture-shifting in bone mineral density: case series-pilot study.

Monica Armengol, Ioannis D Zoulias, Robin S Gibbons, Ian McCarthy, Brian J Andrews, William S Harwin, William Holderbaum

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In one paragraph

Article in Spinal cord series and cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Monica ArmengolCentre of Biomedical Engineering, School of Biological Science, University of Reading, Reading, UK. monica.armengol.g@gmail.com.ORCID 0000-0003-4306-6213
Ioannis D ZouliasCentre of Biomedical Engineering, School of Biological Science, University of Reading, Reading, UK.
Robin S GibbonsCentre for Rehabilitation Engineering and Assistive Technology, University College London, London, UK.
Ian McCarthyPedestrian Accessibility and Movement Environment Laboratory, Department of Civil, Environmental and Geomatic Engineering, Faculty of Engineering Science, University College London, London, UK.
Brian J AndrewsSchool of Engineering, University of Warwick, Coventry, UK.
William S HarwinCentre of Biomedical Engineering, School of Biological Science, University of Reading, Reading, UK.
William HolderbaumCentre of Biomedical Engineering, School of Biological Science, University of Reading, Reading, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designA training intervention study using standing dynamic load-shifting Functional Electrical Stimulation (FES) in a group of individuals with complete spinal cord injury (SCI) T2 to T10.

objectivesInvestigate the effect of FES-assisted dynamic load-shifting exercises on bone mineral density (BMD).

settingUniversity Lab within the Biomedical Engineering

methodsTwelve participants with ASIA A SCI were recruited for this study. Three participants completed side-to-side load-shifting FES-assisted exercises for 29 ± 5 weeks, 2× per week for 1 h, and FES knee extension exercises on alternate days 3× per week for 1 h. Volumetric Bone Mineral density (vBMD) at the distal femur and tibia were assessed using peripheral quantitative computed tomography (pQCT) before and after the intervention study.

resultsParticipants with acute and subacute SCI showed an absolute increase of f trabecular vBMD (vBMD

conclusionImprovements in vBMD

Indexed as

Bone DensitySpinal Cord InjuriesElectric StimulationHumansPilot ProjectsPostureTibia

Identifiers

PMID35680785
PMCPMC9184609

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LicenceCC BY
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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.