Evidence map›Paper›PMID 34734130›Full record

ArticleJournal of spine surgery (Hong Kong)2021

Objectifying clinical gait assessment: using a single-point wearable sensor to quantify the spatiotemporal gait metrics of people with lumbar spinal stenosis.

Callum Betteridge, Ralph J Mobbs, R Dineth Fonseka, Pragadesh Natarajan, Daniel Ho, Wen Jie Choy, Luke W Sy, Nina Pell

Open access · diamondAbstract read
In one paragraph

Article in Journal of spine surgery (Hong Kong), 2021. 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
2.3field-weighted citation impact, top 13% 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, 17 citations in OpenAlex.

  1. Article
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  4. Wearable sensor technology in spine care.Journal of spine surgery (Hong Kong) · 2022
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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

8 authors at 2 institutions in 1 country.

Callum BetteridgeFaculty of Medicine, University of New South Wales, Sydney, Australia.
Ralph J MobbsFaculty of Medicine, University of New South Wales, Sydney, Australia.
R Dineth FonsekaFaculty of Medicine, University of New South Wales, Sydney, Australia.
Pragadesh NatarajanFaculty of Medicine, University of New South Wales, Sydney, Australia.
Daniel HoFaculty of Medicine, University of New South Wales, Sydney, Australia.
Wen Jie ChoyFaculty of Medicine, University of New South Wales, Sydney, Australia.
Luke W SyNeuroSpine Surgery Research Group, Sydney, Australia.
Nina PellNeuroSpine Surgery Research Group, Sydney, Australia.
UNSW Sydney · AUPrince of Wales Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable accelerometer-containing devices have become a mainstay in clinical studies which attempt to classify the gait patterns in various diseases. A gait profile for lumbar spinal stenosis (LSS) has not been developed, and no study has validated a simple wearable system for the clinical assessment of gait in lumbar stenosis. This study identifies the changes to gait patterns that occur in LSS to create a preliminary disease-specific gait profile. In addition, this study compares a chest-based wearable sensor, the MetaMotionC

methodsWe conduct a cross-sectional observational study examining the walking patterns of 25 LSS patients and 33 healthy controls. To construct a preliminary disease-specific gait profile for LSS, the gait patterns of the 25 LSS patients and 25 healthy controls with similar ages were compared. To assess the accuracy of the MMC/IMUPY system in measuring the gait features of patients with LSS, its results were compared with videography for the 21 LSS and 33 healthy controls whose walking bouts exceeded 30 m.

resultsPatients suffering from LSS walked significantly slower, with shorter, less frequent steps and higher asymmetry compared to healthy controls. The MMC/IMUPY system had >90% agreement with videography for all spatiotemporal gait metrics that both methods could measure.

conclusionsThe MMC/IMUPY system is a simple and feasible system for the construction of a preliminary disease-specific gait profile for LSS. Before clinical application in everyday living conditions is possible, further studies involving the construction of a more detailed disease-specific gait profile for LSS by disease severity, and the validation of the MMC/IMUPY system in the home environment, are required.

Indexed as

accelerometrygaitLumbar spinal stenosis (LSS)wearable

Identifiers

PMID34734130
PMCPMC8511559
OpenAlexW3186845534

What OpenQuestion holds

Textmetadata
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.