Evidence map›Paper›PMID 36560983›Full record

ArticleAnnals of Indian Academy of Neurology

Parkinson's Disease and Wearable Technology: An Indian Perspective.

Vaishali Bagrodia, Vikram V Holla, Nitish L Kamble, Pramod K Pal, Ravi Yadav

Abstract read
In one paragraph

Article in Annals of Indian Academy of Neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Vaishali BagrodiaDepartment of Neurology, National Institute of Mental Health and Neurosciences, NIMHANS, Bengaluru, Karnataka, India.
Vikram V HollaDepartment of Neurology, National Institute of Mental Health and Neurosciences, NIMHANS, Bengaluru, Karnataka, India.
Nitish L KambleDepartment of Neurology, National Institute of Mental Health and Neurosciences, NIMHANS, Bengaluru, Karnataka, India.
Pramod K PalDepartment of Neurology, National Institute of Mental Health and Neurosciences, NIMHANS, Bengaluru, Karnataka, India.
Ravi YadavDepartment of Neurology, National Institute of Mental Health and Neurosciences, NIMHANS, Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder. In India, an accurate number of PD patients remains uncertain owing to the unawareness of PD symptoms in the geriatric population and the large discrepancy between the number of PD patients and trained neurologists. Constructing additional neurological care centers along with using technology and integrating it into digital healthcare platforms will help reduce this burden. Use of technology in PD diagnosis and monitoring started in 1980s with invasive techniques performed in laboratories. Over the last five decades, PD technology has significantly evolved where now patients can track symptoms using their smartphones or wearable sensors. However, the use of such technology within the Indian population is non-existent primarily due to the cost of digital devices and limited technological capabilities of geriatric patients especially in rural areas. Other reasons include secure data transfers from patients to physicians and the general lack of awareness of wearables devices. Thus, creating a simple, cost-effective and inconspicuous wearable device would yield the highest compliance within the Indian PD patient population. Implementation of such technology will provide neurologists with wider outreach to patients in rural locations, remote monitoring and empirical data to titrate medication.

Indexed as

IndiaParkinson's diseasetechnology

Identifiers

PMID36560983
PMCPMC9764889

What OpenQuestion holds

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Registered trials

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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.