Evidence map›Paper›PMID 35992585›Full record

ReviewFrontiers in aging neuroscience2022

Detection and assessment of Parkinson's disease based on gait analysis: A survey.

Yao Guo, Jianxin Yang, Yuxuan Liu, Xun Chen, Guang-Zhong Yang

Abstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    Review
  10. Review
  11. Article
  12. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Automatic gait analysis in canines using computer vision.Frontiers in veterinary science · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Gait analysis for Parkinson's disease using multiscale entropy.Neurodegenerative disease management · 2025
    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

5 authors.

Yao GuoInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.
Jianxin YangInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.
Yuxuan LiuInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.
Xun ChenDepartment of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China.
Guang-Zhong YangInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurological disorders represent one of the leading causes of disability and mortality in the world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often manifested as impaired posture and gait. These impairments have been used as a clinical sign for the early detection of PD, as well as an objective index for pervasive monitoring of the PD patients in daily life. This review presents the evidence that demonstrates the relationship between human gait and PD, and illustrates the role of different gait analysis systems based on vision or wearable sensors. It also provides a comprehensive overview of the available automatic recognition systems for the detection and management of PD. The intervening measures for improving gait performance are summarized, in which the smart devices for gait intervention are emphasized. Finally, this review highlights some of the new opportunities in detecting, monitoring, and treating of PD based on gait, which could facilitate the development of objective gait-based biomarkers for personalized support and treatment of PD.

Indexed as

FOG event detection and interventiongait analysisgait-based interventionParkinson's diseasePD detection and staging

Identifiers

PMID35992585
PMCPMC9382193

What OpenQuestion holds

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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.