Evidence map›Paper›PMID 38183553›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2024

Kinect-based objective assessment of the acute levodopa challenge test in parkinsonism: a feasibility study.

Ronghua Hong, Zhuang Wu, Kangwen Peng, Jingxing Zhang, Yijing He, Zhuoyu Zhang, Yichen Gao, Yue Jin, Xiaoyun Su, Hongping Zhi and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 100% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

13 authors at 2 institutions in 2 countries.

Ronghua HongDepartment of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, School of Medicine, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, Shanghai, China.
Zhuang WuDepartment of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, School of Medicine, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, Shanghai, China.
Kangwen PengKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China.
Jingxing ZhangKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China.
Yijing HeKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China.
Zhuoyu ZhangKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China.
Yichen GaoIFLYTEK Suzhou Research Institute, Suzhou, China.
Yue JinIFLYTEK Suzhou Research Institute, Suzhou, China.
Xiaoyun SuIFLYTEK Suzhou Research Institute, Suzhou, China.
Hongping ZhiIFLYTEK Suzhou Research Institute, Suzhou, China.
Qiang GuanKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China.
Lizhen PanKey Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China. lizhen.pan@foxmail.com.
Lingjing JinDepartment of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, School of Medicine, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, Shanghai, China. lingjingjin@tongji.edu.cn.ORCID http://orcid.org/0000-0001-7199-2578
Tongji University · CNSuzhou Research Institute · CN

Funding

Clinical Technology Innovation Project of Shanghai Shenkang Hospital Development Center SHDC12020119National Clinical Key Specialty Construction Project of China Z155080000004Shanghai Clinical Research Ward SHDC2023CRW018BShanghai Hospital Development Center Foundation-Shanghai Municipal Hospital Rehabilitation Medicine Specialty Alliance SHDC22023304Shanghai outstanding academic leaders' plan of Shanghai Municipal Science and Technology Commission 20XD1403400Shanghai Rehabilitation Medical Research Center (Top Priority Research Center of Shanghai) 2023ZZ02027
6 · The paper itself

Abstract

introductionThe acute levodopa challenge test (ALCT) is an important and valuable examination but there are still some shortcomings with it. We aimed to objectively assess ALCT based on a depth camera and filter out the best indicators.

methodsFifty-nine individuals with parkinsonism completed ALCT and the improvement rate (IR, which indicates the change in value before and after levodopa administration) of the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) was calculated. The kinematic features of the patients' movements in both the OFF and ON states were collected with an Azure Kinect depth camera.

resultsThe IR of MDS-UPDRS III was significantly correlated with the IRs of many kinematic features for arising from a chair, pronation-supination movements of the hand, finger tapping, toe tapping, leg agility, and gait (r

conclusionThis study demonstrated the feasibility of measuring the effect of levodopa and objectively assessing ALCT based on kinematic data derived from an Azure Kinect-based system.

Indexed as

Antiparkinson AgentsFeasibility StudiesLevodopaParkinsonian DisordersAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedSeverity of Illness IndexAntiparkinson AgentsLevodopaDepth cameraLevodopa challenge testObjective assessmentParkinsonism

Identifiers

PMID38183553
OpenAlexW4390640782

What OpenQuestion holds

Textmetadata
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.