Evidence map›Paper›PMID 36734316›Full record

ArticleArthritis care & research2023

Reliability of Wearable Sensors for Assessing Gait and Chair Stand Function at Home in People With Knee Osteoarthritis.

Michael J Rose, Tuhina Neogi, Brian Friscia, Kaveh A Torabian, Michael P LaValley, Mary Gheller, Lukas Adamowicz, Pirinka Georgiev, Lars Viktrup, Charmaine Demanuele and 2 more

Open access · greenAbstract read
In one paragraph

Article in Arthritis care & research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Usability Assessment of Technologies for Remote Monitoring of Knee Osteoarthritis.IEEE open journal of engineering in medicine and biology · 2024
    Article
  7. Article
  8. Article
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

12 authors at 3 institutions in 1 country.

Michael J RoseBoston University, Boston, Massachusetts.ORCID 0000-0002-5400-2461
Tuhina NeogiBoston University, Boston, Massachusetts.ORCID 0000-0002-9515-1711
Brian FrisciaBoston University, Boston, Massachusetts.
Kaveh A TorabianBoston University, Boston, Massachusetts.ORCID 0000-0003-4265-7345
Michael P LaValleyBoston University, Boston, Massachusetts.
Mary GhellerBoston University, Boston, Massachusetts.
Lukas AdamowiczPfizer, Cambridge, Massachusetts.
Pirinka GeorgievPfizer, Cambridge, Massachusetts.
Lars ViktrupEli Lilly, Indianapolis, Indiana.
Charmaine DemanuelePfizer, Cambridge, Massachusetts.
Paul W WacnikPfizer, Cambridge, Massachusetts.
Deepak KumarBoston University, Boston, Massachusetts.ORCID 0000-0003-1728-484X
Boston University · USPfizer (United States) · USEli Lilly (United States) · US

Funding

Research and Evaluation Support Core Unit (RESCU Core)P30AR072571 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2019 to 2026
$6.9M
The Role of Urate in Knee Osteoarthritis-Related Inflammation, Pathology and PainK24AR070892 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2017 to 2026
$1.1M
Mind Your Walk Intervention for Community-Based Management of Knee OA: A Feasibility StudyK01AR069720 · NIAMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KUMAR, DEEPAK · 2017 to 2021
$676k
NIAMS NIH HHS K01 AR069720NIAMS NIH HHS K24 AR070892NIAMS NIH HHS P30 AR072571
6 · The paper itself

Abstract

objectiveTo assess the reliability of wearable sensors for at-home assessment of walking and chair stand activities in people with knee osteoarthritis (OA).

methodsBaseline data from participants with knee OA (n = 20) enrolled in a clinical trial of an exercise intervention were used. Participants completed an in-person laboratory visit and a video conference-enabled at-home visit. In both visits, participants performed walking and chair stand tasks while fitted with 3 inertial sensors. During the at-home visit, participants self-donned the sensors and completed 2 sets of acquisitions separated by a 15-minute break, when they removed and redonned the sensors. Participants completed a survey on their experience with the at-home visit. During the laboratory visit, researchers placed the sensors on the participants. Spatiotemporal metrics of walking gait and chair stand duration were extracted from the sensor data. We used intraclass correlation coefficients (ICCs) and the Bland-Altman plot for statistical analyses.

resultsFor test-retest reliability during the at-home visit, all ICCs were good to excellent (0.85-0.95). For agreement between at-home and laboratory visits, ICCs were moderate to good (0.59-0.87). Systematic differences were noted between at-home and laboratory data due to faster task speed during the laboratory visits. Participants reported a favorable experience during the at-home visit.

conclusionOur method of estimating spatiotemporal gait measures and chair stand duration function remotely was reliable, feasible, and acceptable in people with knee OA. Wearable sensors could be used to remotely assess walking and chair stand in participant's natural environments in future studies.

Indexed as

Osteoarthritis, KneeWearable Electronic DevicesBiomechanical PhenomenaGaitHumansReproducibility of Results

Identifiers

PMID36734316
PMCPMC10397366
OpenAlexW4319063223

What OpenQuestion holds

Textmetadata
LicenceTDM
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.