Evidence map›Paper›PMID 28078075›Full record

ArticleEuropean journal of translational myology2016

A Design Method for FES Bone Health Therapy in SCI.

Brian Andrews, James Shippen, Monica Armengol, Robin Gibbons, William Holderbaum, William Harwin

Open access · goldAbstract read
In one paragraph

Article in European journal of translational myology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Observational
  4. EJTM3 is also covering Mobility and Medicine at large, an update.European journal of translational myology · 2018
    Article
  5. Article
  6. Article
  7. Article
  8. FES in Europe and Beyond: Current Translational Research.European journal of translational myology · 2016
    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

6 authors at 4 institutions in 1 country.

Brian AndrewsDepartment of Bio-Engineering at the University of Reading, UK; The Nuffield Department of Surgical Sciences, Oxford.
James ShippenDepartment of Industrial Design, Coventry University , UK.
Monica ArmengolDepartment of Bio-Engineering at the University of Reading , UK.
Robin GibbonsAspire CREATe group University College London , UK.
William HolderbaumScience and Engineering, Manchester Metropolitan University , UK.
William HarwinDepartment of Bio-Engineering at the University of Reading , UK.
Coventry University · GBManchester Metropolitan University · GBNuffield Orthopaedic Centre · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

FES assisted activities such as standing, walking, cycling and rowing induce forces within the leg bones and have been proposed to reduce osteoporosis in spinal cord injury (SCI). However, details of the applied mechanical stimulus for osteogenesis is often not reported. Typically, comparisons of bone density results are made after costly and time consuming clinical trials. These studies have produced inconsistent results and are subject to sample size variations. Here we propose a design process that may be used to predict the clinical outcome based on biomechanical simulation and mechano-biology. This method may allow candidate therapies to be optimized and quantitatively compared. To illustrate the approach we have used data obtained from a rower with complete paraplegia using the RowStim (III) system.

Indexed as

bone stressFESFES rowingosteoporosisspinal cord injury

Identifiers

PMID28078075
PMCPMC5220222
OpenAlexW2559614727

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.