Evidence map›Paper›PMID 36765193›Full record

ArticleScientific reports2023

Versatile clinical movement analysis using statistical parametric mapping in MovementRx.

Amr Alhossary, Todd Pataky, Wei Tech Ang, Karen Sui Geok Chua, Wai Hang Kwong, Cyril John Donnelly

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 4 institutions in 3 countries.

Amr AlhossaryRehabilitation Research Institute of Singapore (RRIS), Nanyang Technological University, Singapore, Singapore. aalhossary@pmail.ntu.edu.sg.
Todd PatakyDepartment of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Wei Tech AngRehabilitation Research Institute of Singapore (RRIS), Nanyang Technological University, Singapore, Singapore.
Karen Sui Geok ChuaTan Tock Seng Hospital Rehabilitation Centre, Singapore, Singapore.
Wai Hang KwongDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, People's Republic of China.
Cyril John DonnellyRehabilitation Research Institute of Singapore (RRIS), Nanyang Technological University, Singapore, Singapore.
Nanyang Technological University · SGHong Kong Polytechnic University · HKKyoto University · JPTan Tock Seng Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical gait analysis is an important biomechanics field that is often influenced by subjectivity in time-varying analysis leading to type I and II errors. Statistical Parametric Mapping can operate on all time-varying joint dynamics simultaneously, thereby overcoming subjectivity errors. We present MovementRx, the first gait analysis modelling application that correctly models the deviations of joints kinematics and kinetics both in 3 and 1 degrees of freedom; presented with easy-to-understand color maps for clinicians with limited statistical training. MovementRx is a python-based versatile GUI-enabled movement analysis decision support system, that provides a holistic view of all lower limb joints fundamental to the kinematic/kinetic chain related to functional gait. The user can cascade the view from single 3D multivariate result down to specific single joint individual 1D scalar movement component in a simple, coherent, objective, and visually intuitive manner. We highlight MovementRx benefit by presenting a case-study of a right knee osteoarthritis (OA) patient with otherwise undetected postintervention contralateral OA predisposition. MovementRx detected elevated frontal plane moments of the patient's unaffected knee. The patient also revealed a surprising adverse compensation to the contralateral limb.

Indexed as

GaitOsteoarthritis, KneeBiomechanical PhenomenaGait AnalysisHumansKnee JointLower ExtremityMovement

Identifiers

PMID36765193
PMCPMC9918450
OpenAlexW4319968600

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.