Evidence map›Paper›PMID 36080851›Full record

ArticleSensors (Basel, Switzerland)2022

Validation of Pressure-Sensing Insoles in Patients with Parkinson's Disease during Overground Walking in Single and Cognitive Dual-Task Conditions.

Monica Parati, Matteo Gallotta, Manuel Muletti, Annalisa Pirola, Alice Bellafà, Beatrice De Maria, Simona Ferrante

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
10.9field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
  5. Article
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  7. Article
  8. Review
  9. Review
  10. The FeetMeSensors (Basel, Switzerland) · 2024
    Article
  11. Review
  12. Article
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  15. Article
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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

7 authors at 2 institutions in 1 country.

Monica ParatiNeuroengineering and Medical Robotics Laboratory, Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy.ORCID 0000-0002-7836-7246
Matteo GallottaIstituti Clinici Scientifici Maugeri IRCCS, 20138 Milan, Italy.ORCID 0000-0001-6425-7276
Manuel MulettiIstituti Clinici Scientifici Maugeri IRCCS, 20138 Milan, Italy.
Annalisa PirolaIstituti Clinici Scientifici Maugeri IRCCS, 20138 Milan, Italy.
Alice BellafàIstituti Clinici Scientifici Maugeri IRCCS, 20138 Milan, Italy.
Beatrice De MariaIstituti Clinici Scientifici Maugeri IRCCS, 20138 Milan, Italy.ORCID 0000-0001-5360-3137
Simona FerranteNeuroengineering and Medical Robotics Laboratory, Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133 Milan, Italy.ORCID 0000-0002-7835-1965
Istituti Clinici Scientifici Maugeri · ITPolitecnico di Milano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a need for unobtrusive and valid tools to collect gait parameters in patients with Parkinson's disease (PD). The novel promising tools are pressure-sensing insoles connected to a smartphone app; however, few studies investigated their measurement properties during simple or challenging conditions in PD patients. This study aimed to examine the validity and reliability of gait parameters computed by pressure-sensing insoles (FeetMe

Indexed as

Parkinson DiseaseAgedCognitionFemaleGaitHumansMaleMiddle AgedReproducibility of ResultsWalkingdual taskinggait analysisinsolesParkinson’s diseaserehabilitationvalidationwearable sensors

Identifiers

PMID36080851
PMCPMC9460700
OpenAlexW4293207136

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.