Evidence map›Paper›PMID 33322187›Full record

ArticleSensors (Basel, Switzerland)2020

Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis-A Scoping Review.

Dylan Kobsar, Zaryan Masood, Heba Khan, Noha Khalil, Marium Yossri Kiwan, Sarah Ridd, Matthew Tobis

Open access · goldAbstract readScoping Review
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
8.9field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 1 institution in 1 country.

Dylan KobsarDepartment of Kinesiology, Faculty of Science, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0002-4268-3618
Zaryan MasoodDepartment of Kinesiology, Faculty of Science, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0003-4515-8752
Heba KhanDepartment of Kinesiology, Faculty of Science, McMaster University, Hamilton, ON L8S 4L8, Canada.
Noha KhalilDepartment of Kinesiology, Faculty of Science, McMaster University, Hamilton, ON L8S 4L8, Canada.
Marium Yossri KiwanDepartment of Kinesiology, Faculty of Science, McMaster University, Hamilton, ON L8S 4L8, Canada.
Sarah RiddDepartment of Psychology, Neuroscience, and Behaviour, Faculty of Science, McMaster University, Hamilton, ON L8S 4L8, Canada.
Matthew TobisDepartment of Kinesiology, Faculty of Science, McMaster University, Hamilton, ON L8S 4L8, Canada.
McMaster University · CA

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2020-06338
6 · The paper itself

Abstract

Our objective was to conduct a scoping review which summarizes the growing body of literature using wearable inertial sensors for gait analysis in lower limb osteoarthritis. We searched six databases using predetermined search terms which highlighted the broad areas of inertial sensors, gait, and osteoarthritis. Two authors independently conducted title and abstract reviews, followed by two authors independently completing full-text screenings. Study quality was also assessed by two independent raters and data were extracted by one reviewer in areas such as study design, osteoarthritis sample, protocols, and inertial sensor outcomes. A total of 72 articles were included, which studied the gait of 2159 adults with osteoarthritis (OA) using inertial sensors. The most common location of OA studied was the knee (

Indexed as

Gait AnalysisOsteoarthritisWearable Electronic DevicesAdultBiomechanical PhenomenaFemaleGaitHumansLongitudinal StudiesMalebiomechanicsgaitinertial sensorsosteoarthritisreviewwalkingwearable technology

Identifiers

PMID33322187
PMCPMC7763184
OpenAlexW3111215764

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.