Evidence map›Paper›PMID 38805448›Full record

ArticlePloS one2024

Electromyography as a tool to motion analysis for people with Amyotrophic Lateral Sclerosis: A protocol for a systematic review.

Ana Paula Mendonça Fernandes, Ledycnarf Januário de Holanda, Larissa Coutinho de Lucena, Kelly Evangelista Rodrigues da Silva, Anna Clara Sales Miranda Lopes, Daniel Tezoni Borges, Danilo A P Nagem, Ricardo A de M Valentim, Laurent Bougrain, Ana Raquel Rodrigues Lindquist

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

10 authors.

Ana Paula Mendonça FernandesDepartment of Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil.ORCID 0000-0002-0100-8026
Ledycnarf Januário de HolandaBloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada.
Larissa Coutinho de LucenaLaboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Kelly Evangelista Rodrigues da SilvaDepartment of Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil.
Anna Clara Sales Miranda LopesDepartment of Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil.
Daniel Tezoni BorgesDepartment of Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil.
Danilo A P NagemLaboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Ricardo A de M ValentimLaboratory of Technological Innovation in Health, Federal University of Rio Grande do Norte, Natal, Brazil.
Laurent BougrainDept. of complex system, Artificial intelligence and robotics at Loria, University of Lorraine, Nancy, France.
Ana Raquel Rodrigues LindquistDepartment of Physical Therapy, Federal University of Rio Grande do Norte, Natal, Brazil.ORCID 0000-0001-9628-7891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomechanical analysis of human movement plays an essential role in understanding functional changes in people with Amyotrophic Lateral Sclerosis (ALS), providing information on muscle impairment. Studies suggest that surface electromyography (sEMG) may be able to quantify muscle activity, identify levels of fatigue, assess muscle strength, and monitor variation in limb movement. In this article, a systematic review protocol will analyze the psychometric properties of the sEMG regarding the clinical data on the skeletal muscles of people with ALS. This protocol uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodological tool. A specific field structure was defined to reach each phase. Nine scientific databases (PubMed, Web of Science, Embase, Elsevier, IEEE, Google Scholar, SciELO, PEDro, LILACS E CENTRAL) were searched. The framework developed will extract data (i.e. study information, sample information, sEMG information, intervention, and outcomes) from the selected studies using a rigorous approach. The data will be described quantitatively using frequency and trend analysis methods, and heterogeneity between the included studies will be assessed using the I2 test. The risk of bias will be summarized using the most recent prediction model risk of bias assessment tool. Be sure to include relevant statistics here, such as sample sizes, response rates, P values or Confidence Intervals. Be specific (by stating the value) rather than general (eg, "there were differences between the groups"). This protocol will map out the construction of a systematic review that will identify and synthesize the advances in movement analysis of people with ALS through sEMG, using data extracted from articles.

Indexed as

Amyotrophic Lateral SclerosisElectromyographyBiomechanical PhenomenaHumansMovementMuscle, SkeletalSystematic Reviews as Topic

Identifiers

PMID38805448
PMCPMC11132455

What OpenQuestion holds

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Registered trials

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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.