Evidence map›Paper›PMID 35444522›Full record

ArticleFrontiers in human neuroscience2022

Application of the Gait Deviation Index to Study Gait Impairment in Adult Population With Spinal Cord Injury: Comparison With the Walking Index for Spinal Cord Injury Levels.

Isabel Sinovas-Alonso, Diana Herrera-Valenzuela, Roberto Cano-de-la-Cuerda, Ana de Los Reyes-Guzmán, Antonio J Del-Ama, Ángel Gil-Agudo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Derivation of the Gait Deviation Index for Spinal Cord Injury.Frontiers in bioengineering and biotechnology · 2022
    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 2 institutions in 1 country.

Isabel Sinovas-AlonsoInternational Doctoral School, Rey Juan Carlos University, Madrid, Spain.
Diana Herrera-ValenzuelaInternational Doctoral School, Rey Juan Carlos University, Madrid, Spain.
Roberto Cano-de-la-CuerdaFaculty of Health Sciences, Department of Physical Therapy, Occupational Therapy, Physical Medicine and Rehabilitation, Rey Juan Carlos University, Alcorcón, Spain.
Ana de Los Reyes-GuzmánBiomechanics and Technical Aids Unit, National Hospital for Paraplegics, Toledo, Spain.
Antonio J Del-AmaSchool of Science and Technology, Department of Applied Mathematics, Materials Science, Engineering and Electronic Technology, Rey Juan Carlos University, Móstoles, Spain.
Ángel Gil-AgudoBiomechanics and Technical Aids Unit, National Hospital for Paraplegics, Toledo, Spain.
Universidad Rey Juan Carlos · ESHospital Nacional de Parapléjicos · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Gait Deviation Index (GDI) is a multivariate measure of overall gait pathology based on 15 gait features derived from three-dimensional (3D) kinematic data. GDI aims at providing a comprehensive, easy to interpret, and clinically meaningful metric of overall gait function. It has been used as an outcome measure to study gait in several conditions: cerebral palsy (CP), post-stroke hemiparetic gait, Duchenne muscular dystrophy, and Parkinson's disease, among others. Nevertheless, its use in population with Spinal Cord Injury (SCI) has not been studied yet. The aim of the present study was to investigate the applicability of the GDI to SCI through the assessment of the relationship of the GDI with the Walking Index for Spinal Cord Injury (WISCI) II. 3D gait kinematics of 34 patients with incomplete SCI (iSCI) was obtained. Besides, 3D gait kinematics of a sample of 50 healthy volunteers (HV) was also gathered with Codamotion motion capture system. A total of 302 (iSCI) and 446 (HV) strides were collected. GDI was calculated for each stride and grouped for each WISCI II level. HV data were analyzed as an additional set. Normal distribution for each group was assessed with Kolmogorov-Smirnov tests. Afterward, ANOVA tests were performed between each pair of WISCI II levels to identify differences among groups (

Indexed as

Gait Deviation Index (GDI)gait impairmentspinal cord injury (SCI)three-dimensional (3D) kinematic gait datawalking index for spinal cord injury (WISCI)

Identifiers

PMID35444522
PMCPMC9013754
OpenAlexW4225939807

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.