Evidence map›Paper›PMID 30760657›Full record

ReviewNeurologia medico-chirurgica2019

Can the Latest Computerized Technologies Revolutionize Conventional Assessment Tools and Therapies for a Neurological Disease? The Example of Parkinson's Disease.

Tetsuya Asakawa, Kenji Sugiyama, Takao Nozaki, Tetsuro Sameshima, Susumu Kobayashi, Liang Wang, Zhen Hong, Shujiao Chen, Candong Li, Hiroki Namba

Abstract readReview
In one paragraph

Review in Neurologia medico-chirurgica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

10 authors.

Tetsuya AsakawaDepartment of Neurosurgery, Hamamatsu University School of Medicine.
Kenji SugiyamaDepartment of Neurosurgery, Hamamatsu University School of Medicine.
Takao NozakiDepartment of Neurosurgery, Hamamatsu University School of Medicine.
Tetsuro SameshimaDepartment of Neurosurgery, Hamamatsu University School of Medicine.
Susumu KobayashiDepartment of Neurosurgery, Hamamatsu University School of Medicine.
Liang WangDepartment of Neurology, Huashan Hospital of Fudan University.
Zhen HongDepartment of Neurology, Huashan Hospital of Fudan University.
Shujiao ChenResearch Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine.
Candong LiResearch Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine.
Hiroki NambaDepartment of Neurosurgery, Hamamatsu University School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dramatic breakthroughs in the treatment and assessment of neurological diseases are lacking. We believe that conventional methods have several limitations. Computerized technologies, including virtual reality, augmented reality, and robot assistant systems, are advancing at a rapid pace. In this study, we used Parkinson's disease (PD) as an example to elucidate how the latest computerized technologies can improve the diagnosis and treatment of neurological diseases. Dopaminergic medication and deep brain stimulation remain the most effective interventions for treating PD. Subjective scales, such as the Unified Parkinson's Disease Rating Scale and the Hoehn and Yahr stage, are still the most widely used assessments. Wearable sensors, virtual reality, augmented reality, and robot assistant systems are increasingly being used for evaluation of patients with PD. The use of such computerized technologies can result in safe, objective, real-time behavioral assessments. Our experiences and understanding of PD have led us to believe that such technologies can provide real-time assessment, which will revolutionize the traditional assessment and treatment of PD. New technologies are desired that can revolutionize PD treatment and facilitate real-time adjustment of treatment based on motor fluctuations, such as telediagnosis systems and "smart treatment systems." The use of these technologies will substantially improve both the assessment and the treatment of neurological diseases before next-generation treatments, such as stem cell and genetic therapy, and next-generation assessments, can be clinically practiced, although the current level of artificial intelligence cannot replace the role of clinicians.

Indexed as

Diagnosis, Computer-AssistedTherapy, Computer-AssistedHumansParkinson DiseaseRoboticsVirtual RealityWearable Electronic Devicesaugmented reality (AR)/virtual reality (VR)behavioral assessmentsmotor fluctuationsneurological diseasesParkinson’s diseaserehabilitationrobot assistant systemwearable device

Identifiers

PMID30760657
PMCPMC6434424

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.