Evidence map›Paper›PMID 36053444›Full record

ArticleAging clinical and experimental research2022

The prevention of falls in patients with Parkinson's disease with in-home monitoring using a wearable system: a pilot study protocol.

Daiana Campani, Enrico De Luca, Erika Bassi, Erica Busca, Chiara Airoldi, Michela Barisone, Massimo Canonico, Elena Contaldi, Daniela Capello, Fabiola De Marchi and 6 more

Open access · hybridAbstract readClinical Trial Protocol
In one paragraph

Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Technology that CARES: Enhancing dementia care through everyday technologies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  3. Gait Monitoring and Analysis: A Mathematical Approach.Sensors (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Review
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

16 authors at 1 institution in 1 country.

Daiana CampaniDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.ORCID http://orcid.org/0000-0002-4621-9150
Enrico De LucaDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.ORCID http://orcid.org/0000-0003-1516-3198
Erika BassiDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.ORCID http://orcid.org/0000-0001-6031-1271
Erica BuscaDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.ORCID http://orcid.org/0000-0002-1960-2912
Chiara AiroldiDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Michela BarisoneDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Massimo CanonicoComputer Science Institute, Department of Sciences and Technological Innovation, University of Piemonte Orientale, Alessandria, Italy.ORCID http://orcid.org/0000-0002-9723-8757
Elena ContaldiDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Daniela CapelloDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Fabiola De MarchiDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Luca MagistrelliMovement Disorders Centre, Maggiore Della Carità Hospital, Novara, Italy.
Letizia MazziniDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Massimiliano PanellaDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Lorenza ScottiDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
Marco InvernizziDepartment of Health Sciences, University of Piemonte Orientale, Novara, Italy.
Alberto Dal MolinDepartment of Translational Medicine, University of Piemonte Orientale, Novara, Italy. alberto.dalmolin@med.uniupo.it.ORCID http://orcid.org/0000-0003-2263-1340
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is a chronic, progressive neurodegenerative condition that gradually worsens motor function and leads to postural instability and, eventually, falls. Several factors may influence the frequency of future falls, such as slowness, freezing of gait, loss of balance, and mobility problems, cognitive impairments, and the number of previous falls. The TED bracelet is an advanced technological wearable device able to predict falls.

aimsThis principal aim is to investigate the feasibility of a full-scale research project that uses the TED bracelet to identify whether individuals with PD are at risk of falling.

methodsThis study will involve a pilot prospective observational study design; the subjects will include 26 patients suffering from mild PD and 26 others with no PD and no gait problems. Data will be collected from the TED bracelet and then compared to a paper-based fall diary. The enrolled participants will have a scheduled outpatient evaluation to collect both clinical and instrumental data as well as biological samples. DISCUSSION: This pilot study could then be implemented in a larger form to further evaluate the effectiveness of the TED device. Finally, it will help further develop gait monitoring systems for people with Parkinson's disease and other neurodegenerative diseases that can affect physical function and mobility, such as dementia and Alzheimer's.

conclusionsPreventing falls and their complications could lead to major advancements in the quality of home care for patients with PD, which would significantly impact the quality of life of both these patients and their caregivers.

Indexed as

Gait Disorders, NeurologicParkinson DiseaseWearable Electronic DevicesExercise TherapyHumansObservational Studies as TopicPilot ProjectsPostural BalanceQuality of Lifee-health technologyFall preventionHomecareParkinson’s diseaseTelemedicineWearable device

Identifiers

PMID36053444
PMCPMC9719451
OpenAlexW4294266488

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.