Evidence map›Paper›PMID 38487773›Full record

ArticleWearable technologies2023

Instrumented insoles for assessment of gait in patients with vestibular schwannoma.

Stephen Leong, Bing M Teh, Ton Duong, Diane Hu, Alexander Chui, Jocelyn S Chen, Michael B Sisti, Tony J C Wang, Damiano Zanotto, Anil K Lalwani

Abstract read
In one paragraph

Article in Wearable technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Stephen LeongVagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY, USA.ORCID https://orcid.org/0000-0002-6833-5072
Bing M TehDepartment of Otolaryngology-Head & Neck Surgery, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, NY, USA.
Ton DuongDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA.
Diane HuVagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
Alexander ChuiDepartment of Biological Sciences, Columbia University, New York, NY, USA.
Jocelyn S ChenDepartment of Biomedical Engineering, Columbia University, New York, NY, USA.
Michael B SistiDepartment of Otolaryngology-Head & Neck Surgery, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, NY, USA.
Tony J C WangDepartment of Neurological Surgery, NewYork-Presbyterian/Columbia University Irving Medical Center, New York, NY, USA.
Damiano ZanottoDepartment of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ, USA.ORCID https://orcid.org/0000-0003-3514-6889
Anil K LalwaniVagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Imbalance and gait disturbances are common in patients with vestibular schwannoma (VS) and can result in significant morbidity. Current methods for quantitative gait analysis are cumbersome and difficult to implement. Here, we use custom-engineered instrumented insoles to evaluate the gait of patients diagnosed with VS. Methods: Twenty patients with VS were recruited from otology, neurosurgery, and radiation oncology clinics at a tertiary referral center. Functional gait assessment (FGA), 2-minute walk test (2MWT), and uneven surface walk test (USWT) were performed. Custom-engineered instrumented insoles, equipped with an 8-cell force sensitive resistor (FSR) and a 9-degree-of-freedom inertial measurement unit (IMU), were used to collect stride-by-stride spatiotemporal gait parameters, from which mean values and coefficients of variation (CV) were determined for each patient. Results: FGA scores were significantly correlated with gait metrics obtained from the 2MWT and USWT, including stride length, stride velocity, normalized stride length, normalized stride velocity, stride length CV, and stride velocity CV. Tumor diameter was negatively associated with stride time and swing time on the 2MWT; no such association existed between tumor diameter and FGA or DHI. Conclusions: Instrumented insoles may unveil associations between VS tumor size and gait dysfunction that cannot be captured by standardized clinical assessments and self-reported questionnaires.

Indexed as

Sensorssoft wearable roboticsvestibular dysfunctionvestibular schwannoma

Identifiers

PMID38487773
PMCPMC10936291

What OpenQuestion holds

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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.