Evidence map›Paper›PMID 34884347›Full record

ArticleJournal of clinical medicine2021

Applications of Wearable Technology in a Real-Life Setting in People with Knee Osteoarthritis: A Systematic Scoping Review.

Tomasz Cudejko, Kate Button, Jake Willott, Mohammad Al-Amri

Open access · goldAbstract readScoping Review
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Reporting of Accelerometry in Health Research: A Scoping Review of Current Guidance.Scandinavian journal of medicine & science in sports · 2025
    Article
  4. Article
  5. Usability Assessment of Technologies for Remote Monitoring of Knee Osteoarthritis.IEEE open journal of engineering in medicine and biology · 2024
    Article
  6. [Digitalization in rehabilitation].Orthopadie (Heidelberg, Germany) · 2023
    Review
  7. Observational
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Can genetics guide exercise prescriptions in osteoarthritis?Frontiers in rehabilitation sciences · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. 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

4 authors at 1 institution in 1 country.

Tomasz CudejkoSchool of Healthcare Sciences, College of Biomedical and Life Sciences, Cardiff University, College House, King George V Drive East, Heath Park, Cardiff CF14 4EP, UK.ORCID 0000-0001-8290-7674
Kate ButtonSchool of Healthcare Sciences, College of Biomedical and Life Sciences, Cardiff University, College House, King George V Drive East, Heath Park, Cardiff CF14 4EP, UK.
Jake WillottSchool of Healthcare Sciences, College of Biomedical and Life Sciences, Cardiff University, College House, King George V Drive East, Heath Park, Cardiff CF14 4EP, UK.
Mohammad Al-AmriSchool of Healthcare Sciences, College of Biomedical and Life Sciences, Cardiff University, College House, King George V Drive East, Heath Park, Cardiff CF14 4EP, UK.ORCID 0000-0003-2806-0462
Cardiff University · GB

Funding

European Regional Development Fund Not applicable
6 · The paper itself

Abstract

With the growing number of people affected by osteoarthritis, wearable technology may enable the provision of care outside a traditional clinical setting and thus transform how healthcare is delivered for this patient group. Here, we mapped the available empirical evidence on the utilization of wearable technology in a real-world setting in people with knee osteoarthritis. From an analysis of 68 studies, we found that the use of accelerometers for physical activity assessment is the most prevalent mode of use of wearable technology in this population. We identify low technical complexity and cost, ability to connect with a healthcare professional, and consistency in the analysis of the data as the most critical facilitators for the feasibility of using wearable technology in a real-world setting. To fully realize the clinical potential of wearable technology for people with knee osteoarthritis, this review highlights the need for more research employing wearables for information sharing and treatment, increased inter-study consistency through standardization and improved reporting, and increased representation of vulnerable populations.

Indexed as

artificial intelligencee-healthfree-livingjoint diseasewearable devices

Identifiers

PMID34884347
PMCPMC8658504
OpenAlexW3214934035

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.