Evidence map›Paper›PMID 35270972›Full record

ArticleSensors (Basel, Switzerland)2022

Hand Pronation-Supination Movement as a Proxy for Remotely Monitoring Gait and Posture Stability in Parkinson's Disease.

Yusuf Ozgur Cakmak, Can Olcek, Burak Ozsoy, Prashanna Khwaounjoo, Gunes Kiziltan, Hulya Apaydin, Aysegul Günduz, Ozgur Oztop Cakmak, Sibel Ertan, Yasemin Gursoy-Ozdemir and 1 more

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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
0.5field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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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

11 authors at 6 institutions in 2 countries.

Yusuf Ozgur CakmakDepartment of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin 9054, New Zealand.
Can OlcekDepartment of Health Informatics, Middle East Technical University, Ankara 06800, Turkey.
Burak OzsoyGlobal Dynamic Systems ARGE, Teknopark Istanbul, Istanbul 34906, Turkey.
Prashanna KhwaounjooDepartment of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin 9054, New Zealand.ORCID 0000-0003-4566-5068
Gunes KiziltanDepartment of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul 34098, Turkey.
Hulya ApaydinDepartment of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul 34098, Turkey.
Aysegul GünduzDepartment of Neurology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul 34098, Turkey.
Ozgur Oztop CakmakDepartment of Neurology, School of Medicine, Koç University, Istanbul 34010, Turkey.
Sibel ErtanDepartment of Neurology, School of Medicine, Koç University, Istanbul 34010, Turkey.
Yasemin Gursoy-OzdemirDepartment of Neurology, School of Medicine, Koç University, Istanbul 34010, Turkey.ORCID 0000-0002-0860-8964
Didem GokcayDepartment of Health Informatics, Middle East Technical University, Ankara 06800, Turkey.
Istanbul University-Cerrahpaşa · TRKoç University · TRMiddle East Technical University · TRMedTech CoRE · NZTeknoloji Arastirma ve Gelistirme Endustriyel Urunler Bilisim Teknolojileri San Tic · TRThe Centre for Health (New Zealand) · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Unified Parkinson's Disease Rating Scale (UPDRS) is a subjective Parkinson's Disease (PD) physician scoring/monitoring system. To date, there is no single upper limb wearable/non-contact system that can be used objectively to assess all UPDRS-III motor system subgroups (i.e., tremor (T), rigidity (R), bradykinesia (B), gait and posture (GP), and bulbar anomalies (BA)). We evaluated the use of a non-contact hand motion tracking system for potential extraction of GP information using forearm pronation-supination (P/S) motion parameters (speed, acceleration, and frequency). Twenty-four patients with idiopathic PD participated, and their UPDRS data were recorded bilaterally by physicians. Pearson's correlation, regression analyses, and Monte Carlo validation was conducted for all combinations of UPDRS subgroups versus motion parameters. In the 262,125 regression models that were trained and tested, the models within 1% of the lowest error showed that the frequency of P/S contributes to approximately one third of all models; while speed and acceleration also contribute significantly to the prediction of GP from the left-hand motion of right handed patients. In short, the P/S better indicated GP when performed with the non-dominant hand. There was also a significant negative correlation (with medium to large effect size, range: 0.3-0.58) between the P/S speed and the single BA score for both forearms and combined UPDRS score for the dominant hand. This study highlights the potential use of wearable or non-contact systems for forearm P/S to remotely monitor and predict the GP information in PD.

Indexed as

Parkinson DiseaseGaitGait AnalysisHumansPosturePronationSupinationUpper Extremitybulbar anomaliesgaitParkinson’s diseaseposturepronationsupination

Identifiers

PMID35270972
PMCPMC8915024
OpenAlexW4214738670

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.