Evidence map›Paper›PMID 33024297›Full record

ArticleSpinal cord2021

Using wearable sensors to characterize gait after spinal cord injury: evaluation of test-retest reliability and construct validity.

Jean-François Lemay, Alireza Noamani, Janelle Unger, David J Houston, Hossein Rouhani, Kristin E Musselmann

Abstract read
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In one paragraph

Article in Spinal cord, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Gait analysis methods in people with spinal cord injury: a systematic review.Journal of neuroengineering and rehabilitation · 2026
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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.

Jean-François LemayCIUSSS du Centre-Sud-de-l'Île-de-Montréal (Installation Gingras-Lindsay), Montreal, QC, Canada. jf.lemay@umontreal.ca.ORCID http://orcid.org/0000-0003-0389-2123
Alireza NoamaniDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Janelle UngerSCI Mobility Lab, KITE, Toronto Rehabilitation Institute-University Health Network, Toronto, ON, Canada.
David J HoustonSCI Mobility Lab, KITE, Toronto Rehabilitation Institute-University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-0285-6489
Hossein RouhaniDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada.
Kristin E MusselmannSCI Mobility Lab, KITE, Toronto Rehabilitation Institute-University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-8336-8211

Funding

Craig H. Neilsen Foundation 382362
6 · The paper itself

Abstract

STUDY

designQuantitative cross-sectional study.

objectivesEvaluate the test-retest reliability and the construct validity of inertial measurement units (IMU) to characterize spatiotemporal gait parameters in individuals with SCI.

settingTwo SCI rehabilitation centers in Canada.

methodsEighteen individuals with SCI participated in two evaluation sessions spaced 2 weeks apart. Fifteen able-bodied individuals were also recruited. Participants walked 20 m overground under five conditions that challenged balance to varying degrees. Five IMU were attached to the lower-extremities and the sacrum to collect the mean and the coefficient of variation of five gait parameters (gait cycle time, double-support percentage, cadence, stride length, stride velocity). Intra-class correlation coefficients (ICC) were used to evaluate the test-retest reliability. Linear mixed-effects models were used to compare the five walking conditions to evaluate known-group validity while Spearman's correlation coefficients were used to characterize the level of association between gait parameters and the Mini BESTest (MBT).

resultsCadence was reliable across all walking conditions. Reliability was higher for the mean (ICC = 0.55-0.98) of the parameters compared to their coefficient of variation (ICC = 0.16-0.97). Cadence collected with IMU had construct validity as their values differed across walking conditions and groups of participants. The coefficient of variation was generally better than the mean to show differences across the five walking conditions. The MBT was moderately to strongly associated with mean cadence (ρ ≥ 0.498) and its coefficient of variation (ρ ≤ -0.49) during most walking conditions.

conclusionsIMU provide reliable and valid measurements of gait parameters in ambulatory individuals with SCI.

Indexed as

Spinal Cord InjuriesWearable Electronic DevicesCross-Sectional StudiesGaitHumansReproducibility of ResultsWalking

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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.