Evidence map›Paper›PMID 35402938›Full record

ArticleIEEE open journal of engineering in medicine and biology2020

Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson's Disease: What Counts?

Rana Zia Ur Rehman, Christopher Buckley, Maria Encarna Mico-Amigo, Cameron Kirk, Michael Dunne-Willows, Claudia Mazza, Jian Qing Shi, Lisa Alcock, Lynn Rochester, Silvia Del Din

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–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

29 citing papers in PubMed.

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

10 authors.

Rana Zia Ur Rehman1 Translational and Clinical Research InstituteNewcastle University Newcastle Upon Tyne NE4 5PL U.K.ORCID https://orcid.org/0000-0002-4885-7455
Christopher Buckley1 Translational and Clinical Research InstituteNewcastle University Newcastle Upon Tyne NE4 5PL U.K.ORCID https://orcid.org/0000-0002-1383-2485
Maria Encarna Mico-Amigo1 Translational and Clinical Research InstituteNewcastle University Newcastle Upon Tyne NE4 5PL U.K.
Cameron Kirk1 Translational and Clinical Research InstituteNewcastle University Newcastle Upon Tyne NE4 5PL U.K.
Michael Dunne-Willows2 School of Mathematics, Statistics, and PhysicsNewcastle University Newcastle Upon Tyne NE1 7RU U.K.
Claudia Mazza3 Department of Mechanical Engineering and INSIGNEO Institute for in silico MedicineUniversity of Sheffield Sheffield S10 2TN U.K.ORCID https://orcid.org/0000-0002-5215-1746
Jian Qing Shi2 School of Mathematics, Statistics, and PhysicsNewcastle University Newcastle Upon Tyne NE1 7RU U.K.
Lisa Alcock1 Translational and Clinical Research InstituteNewcastle University Newcastle Upon Tyne NE4 5PL U.K.
Lynn Rochester1 Translational and Clinical Research InstituteNewcastle University Newcastle Upon Tyne NE4 5PL U.K.
Silvia Del Din1 Translational and Clinical Research InstituteNewcastle University Newcastle Upon Tyne NE4 5PL U.K.ORCID https://orcid.org/0000-0003-1154-4751

Funding

Wellcome Trust
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ClassificationDigital GaitMachine LearningParkinson's diseasePartial least square-discriminant analysis (PLS-DA)

Identifiers

PMID35402938
PMCPMC8979631

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.