Evidence map›Paper›PMID 38162877›Full record

ArticleFrontiers in medicine2023

Gait analysis using digital biomarkers including smart shoes in lumbar spinal canal stenosis: a scoping review.

Tadatsugu Morimoto, Hirohito Hirata, Takaomi Kobayashi, Masatsugu Tsukamoto, Tomohito Yoshihara, Yu Toda, Masaaki Mawatari

Open access · goldAbstract readScoping Review
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Symptom relief does not fully reflect functional adaptation after lumbar decompression: longitudinal changes in lifting biomechanics following surgery for degenerative lumbar stenosis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  2. Article
  3. Review
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

7 authors at 1 institution in 1 country.

Tadatsugu MorimotoDepartment of Orthopaedic Surgery, Faculty of Medicine, Saga University, Saga, Japan.
Hirohito HirataDepartment of Orthopaedic Surgery, Faculty of Medicine, Saga University, Saga, Japan.
Takaomi KobayashiDepartment of Orthopaedic Surgery, Faculty of Medicine, Saga University, Saga, Japan.
Masatsugu TsukamotoDepartment of Orthopaedic Surgery, Faculty of Medicine, Saga University, Saga, Japan.
Tomohito YoshiharaDepartment of Orthopaedic Surgery, Faculty of Medicine, Saga University, Saga, Japan.
Yu TodaDepartment of Orthopaedic Surgery, Faculty of Medicine, Saga University, Saga, Japan.
Masaaki MawatariDepartment of Orthopaedic Surgery, Faculty of Medicine, Saga University, Saga, Japan.
Saga University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lumbar spinal canal stenosis (LSS) is characterized by gait abnormalities, and objective quantitative gait analysis is useful for diagnosis and treatment. This review aimed to provide a review of objective quantitative gait analysis in LSS and note the current status and potential of smart shoes in diagnosing and treating LSS. The characteristics of gait deterioration in LSS include decreased gait velocity and asymmetry due to neuropathy (muscle weakness and pain) in the lower extremities. Previous laboratory objective and quantitative gait analyses mainly comprised marker-based three-dimensional motion analysis and ground reaction force. However, workforce, time, and costs pose some challenges. Recent developments in wearable sensor technology and markerless motion analysis systems have made gait analysis faster, easier, and less expensive outside the laboratory. Smart shoes can provide more accurate gait information than other wearable sensors. As only a few reports exist on gait disorders in patients with LSS, future studies should focus on the accuracy and cost-effectiveness of gait analysis using smart shoes.

Indexed as

digital biomarkergait analysislumbar spinal canal stenosissmart shoeswearable sensor

Identifiers

PMID38162877
PMCPMC10757616
OpenAlexW4389730428

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.