Evidence map›Paper›PMID 41012946›Full record

ArticleSensors (Basel, Switzerland)2025

MoveLab

Katie Powell, Ahmad Amer, Zornitza Glavcheva-Laleva, Jenny Williams, Caomhnad O'Flaherty Farrell, Finchley Harwood, Peter Bishop, Catherine Holt

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. [Personalized lower-limb gait assessment method based on musculoskeletal modeling and machine learning].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    Article
  3. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    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

8 authors.

Katie PowellSchool of Engineering, Cardiff University, Cardiff CF10 3AT, UK.
Ahmad AmerAgile Kinetic, Newport NP20 1GL, UK.ORCID 0009-0002-2965-4115
Zornitza Glavcheva-LalevaSchool of Engineering, Cardiff University, Cardiff CF10 3AT, UK.ORCID 0000-0003-2884-075X
Jenny WilliamsSchool of Engineering, Cardiff University, Cardiff CF10 3AT, UK.ORCID 0000-0001-9033-4247
Caomhnad O'Flaherty FarrellSchool of Engineering, Cardiff University, Cardiff CF10 3AT, UK.
Finchley HarwoodAgile Kinetic, Newport NP20 1GL, UK.
Peter BishopAgile Kinetic, Newport NP20 1GL, UK.ORCID 0000-0002-6568-279X
Catherine HoltSchool of Engineering, Cardiff University, Cardiff CF10 3AT, UK.ORCID 0000-0002-0428-8078

Funding

Innovate UK 10070944
6 · The paper itself

Abstract

Wearable health assessment devices enable real-time clinical- and home-based patient monitoring. Human gait analysis is a widely accepted musculoskeletal assessment. The 30 s Sit-to-Stand (STS) and Timed-Up-and-Go (TUG) are clinical frailty assessments used alongside gait analysis. This study assessed the reliability and validity of the MoveLab

Indexed as

GaitGait AnalysisAdultBiomechanical PhenomenaFemaleHumansMaleMonitoring, PhysiologicMotion CaptureMovementReproducibility of ResultsWearable Electronic DevicesYoung AdultfrailtygaitMoveLab®rehabilitationspatiotemporal gait parameters (STPs)STSTUGvalidationwearable

Identifiers

PMID41012946
PMCPMC12473320

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.