ArticleSpinal cord2019
Various surfaces challenge gait characteristics of ambulatory patients with spinal cord injury.
Article in Spinal cord, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Gait analysis methods in people with spinal cord injury: a systematic review.Journal of neuroengineering and rehabilitation · 2026Pooled it
- Pooled it
- Immediate Effects of Walking Training With Elastic Ankle Support Devices on Walking and Mobility of Ambulatory Individuals With Stroke.Annals of rehabilitation medicine · 2026Article
- Elastic Ankle Support Devices Effectively Promoted Walking Ability and Mobility of Ambulatory Individuals With Stroke.Annals of rehabilitation medicine · 2025Article
- Using Sensor Technology to Measure Gait Capacity and Gait Performance in Rehabilitation Inpatients with Neurological Disorders.Sensors (Basel, Switzerland) · 2022Article
- Effect of Walking Adaptability on an Uneven Surface by a Stepping Pattern on Walking Activity After Stroke.Frontiers in human neuroscience · 2021Article
- Ambulation in Dogs With Absent Pain Perception After Acute Thoracolumbar Spinal Cord Injury.Frontiers in veterinary science · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
designA cross-sectional study.
objectiveTo assess the influence of various surfaces on the gait characteristics of ambulatory participants with incomplete spinal cord injury (SCI) as compared to data from able-bodied participants.
settingA tertiary rehabilitation center and communities.
methodsSeventy participants (35 ambulatory individuals with incomplete SCI and 35 able-bodied individuals with gender- and age-matched) were assessed for their spatiotemporal gait variables while walking over a 10-m walkway of different surfaces (including hard, artificial grass, soft, and pebble surfaces) at a self-selected and fastest speed. The findings were analyzed using the method of manual digitization. The data among the surfaces were compared using Kruskal-Wallis test and Mann-Whitney U test, with a level of statistical significance at P < 0.05.
resultsParticipants with incomplete SCI could safely walk over every surface without any adverse events. Their average stride length, cadence, and walking speed, but not percent step length symmetry, were significantly decreased while walking on the artificial grass, soft, and particularly pebble surfaces as compared to those found on a hard surface. These changes were found particularly in those with SCI, resulting in a walking speed decreased from 0.11 to 0.35 m/s, whereas the reduction of walking speed of able-bodied participants ranged from 0.04 to 0.20 m/s.
conclusionsThe spatiotemporal characteristics of ambulatory participants with SCI were dramatically affected by the surfaces as compared to the data found in able-bodied participants. The findings have potential clinical implications for the incorporation of various surfaces to promote the functional outcomes and safety for ambulatory individuals with SCI.
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Registered trials
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.