Evidence map›Paper›PMID 37383624›Full record

ArticleMethodsX2023

Feasibility of virtual low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson's disease.

Abdelwahab Elshourbagy, Mennatullah Mohamed Eltaras, Hassan Abdalshafy, Samrah Javed, Ahmed Omar Sadaney, Timothy Patrick Harrigan, Kelly Alexander Mills, Manuel Enrique Hernandez, James Robert Brašić

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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
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.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Abdelwahab ElshourbagyMisr University for Science and Technology, Al Motamayez District-6th of October, Giza Governorate 3236101, Egypt.
Mennatullah Mohamed EltarasFaculty of Medicine for Girls, Al-Azhar University, Cairo Governorate 4434003, Egypt.
Hassan AbdalshafyFaculty of Medicine, Cairo University, Giza Governorate 12613, Egypt.
Samrah JavedJinnah Sindh Medical University, Karachi, Sindh 75510, Pakistan.
Ahmed Omar SadaneyFaculty of Medicine, Cairo University, Giza Governorate 12613, Egypt.
Timothy Patrick HarriganResearch and Exploratory Development, Applied Physics Laboratory, The Johns Hopkins University, Laurel, MD 20723, United States.
Kelly Alexander MillsDepartment of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States.
Manuel Enrique HernandezCarle Health College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States.
James Robert BrašićSection of High-Resolution Brain Positron Emission Tomography Imaging, Division of Nuclear Medicine and Molecular Imaging, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson's disease, a structured motor assessment administered by a trained examiner to a patient physically present in the same room, utilizes sensors to generate output to facilitate the evaluation of the patient. However, motor assessments with the patient and the examiner in the same room may not be feasible due to distances between the patient and the examiner and the risk of transmission of infections between the patient and the examiner. Therefore, we propose a protocol for the remote assessment by examiners in different locations of both (A) videos of patients recorded during in-person motor assessments and (B) live virtual assessments of patients in different locations from examiners. The proposed procedure provides a framework for providers, investigators, and patients in vastly diverse locations to conduct optimal motor assessments required to develop treatment plans utilizing precision medicine tailored to the specific needs of each individual patient. The proposed protocol generates the foundation for providers to remotely perform structured motor assessments necessary for optimal diagnosis and treatment of people with Parkinson's disease and related conditions.

Indexed as

AccelerometerExperimental errorMotor assessmentMovement disordersOnlineRating scalesStructured interviewsTest-retest reliabilityTrained ratersVirtual low-cost quantitative continuous measurement of movements in the extremities of people with Parkinson’s disease.Visual observation

Identifiers

PMID37383624
PMCPMC10293722

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.