Evidence map›Paper›PMID 35795702›Full record

ReviewFrontiers in public health2022

Wearable Walking Assistant for Freezing of Gait With Environmental IoT Monitoring: A Contribution to the Discussion.

Rafael A Bernardes, Filipa Ventura, Hugo Neves, Maria Isabel Fernandes, Pedro Sousa

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in public health, 2022. 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
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  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 at 1 institution in 1 country.

Rafael A BernardesThe Health Sciences Research Unit: Nursing (UICISA:E), The Nursing School of Coimbra, Coimbra, Portugal.
Filipa VenturaThe Health Sciences Research Unit: Nursing (UICISA:E), The Nursing School of Coimbra, Coimbra, Portugal.
Hugo NevesThe Health Sciences Research Unit: Nursing (UICISA:E), The Nursing School of Coimbra, Coimbra, Portugal.
Maria Isabel FernandesThe Health Sciences Research Unit: Nursing (UICISA:E), The Nursing School of Coimbra, Coimbra, Portugal.
Pedro SousaThe Health Sciences Research Unit: Nursing (UICISA:E), The Nursing School of Coimbra, Coimbra, Portugal.
Escola Superior de Enfermagem de Coimbra · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disease, significantly increasing in the last three decades. Worldwide, seven to ten million people are affected by PD. In people living with PD, freezing of gait (FoG) significantly impacts activities of daily living, potentially leading to falls, injuries, and loss of autonomy. FoG prevalence rates vary widely, reaching at least 50% of patients with PD. Current therapeutic options have limited effectiveness, and their complement with innovative technology-based solutions in the real world is demanded to enhance daily functioning for people living with PD. This article provides a narrative review of current technological developments for people living with PD and, derived from that evidence, presents a perspective on integrating wearable technology and IoT to support telemonitoring and self-management of people living with PD in their daily living environment. Complementing current therapeutic options with technology-based solutions in PD patients' real-world environment is crucial to enhancing the quality of life of people living with PD. In that way, wearable technology and IoT might constitute resources of excellence in seamless monitoring and self-management in people's home environments.

Indexed as

Gait Disorders, NeurologicNeurodegenerative DiseasesParkinson DiseaseWearable Electronic DevicesActivities of Daily LivingGaitHumansQuality of LifeWalkingfreezing of gaitinternet of thingsParkinson's diseaseself-managementwearables

Identifiers

PMID35795702
PMCPMC9251205
OpenAlexW4283170043

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.