Evidence map›Paper›PMID 31835822›Full record

ArticleSensors (Basel, Switzerland)2019

Wearable Electronics Assess the Effectiveness of Transcranial Direct Current Stimulation on Balance and Gait in Parkinson's Disease Patients.

Mariachiara Ricci, Giulia Di Lazzaro, Antonio Pisani, Simona Scalise, Mohammad Alwardat, Chiara Salimei, Franco Giannini, Giovanni Saggio

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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

8 authors at 1 institution in 1 country.

Mariachiara RicciDepartment of Electronic Engineering, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0001-8456-9795
Giulia Di LazzaroDepartment of Systems Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.
Antonio PisaniDepartment of Systems Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0002-8432-594X
Simona ScaliseDepartment of Systems Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.
Mohammad AlwardatDepartment of Systems Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0003-2106-4524
Chiara SalimeiDepartment of Systems Medicine, University of Rome "Tor Vergata", 00133 Rome, Italy.
Franco GianniniDepartment of Electronic Engineering, University of Rome "Tor Vergata", 00133 Rome, Italy.
Giovanni SaggioDepartment of Electronic Engineering, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0002-9034-9921
University of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, clinical evaluation represents the primary outcome measure in Parkinson's disease (PD). However, clinical evaluation may underscore some subtle motor impairments, hidden from the visual inspection of examiners. Technology-based objective measures are more frequently utilized to assess motor performance and objectively measure motor dysfunction. Gait and balance impairments, frequent complications in later disease stages, are poorly responsive to classic dopamine-replacement therapy. Although recent findings suggest that transcranial direct current stimulation (tDCS) can have a role in improving motor skills, there is scarce evidence for this, especially considering the difficulty to objectively assess motor function. Therefore, we used wearable electronics to measure motor abilities, and further evaluated the gait and balance features of 10 PD patients, before and (three days and one month) after the tDCS. To assess patients' abilities, we adopted six motor tasks, obtaining 72 meaningful motor features. According to the obtained results, wearable electronics demonstrated to be a valuable tool to measure the treatment response. Meanwhile the improvements from tDCS on gait and balance abilities of PD patients demonstrated to be generally partial and selective.

Indexed as

Wearable Electronic DevicesAgedAged, 80 and overFemaleGaitHumansMaleMotor ActivityParkinson DiseasePostural BalanceTranscranial Direct Current StimulationbalancegaitIMUsParkinson’s diseasetranscranial direct current stimulationwearable electronics

Identifiers

PMID31835822
PMCPMC6960759
OpenAlexW2995368900

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.