Evidence map›Paper›PMID 33228056›Full record

SynthesisSensors (Basel, Switzerland)2020

Wearable Health Technology to Quantify the Functional Impact of Peripheral Neuropathy on Mobility in Parkinson's Disease: A Systematic Review.

Marta Francisca Corrà, Elke Warmerdam, Nuno Vila-Chã, Walter Maetzler, Luís Maia

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Atypical Gait Cycles in Parkinson's Disease.Sensors (Basel, Switzerland) · 2021
    Article
  7. Article
  8. 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 3 institutions in 2 countries.

Marta Francisca CorràInstituto de Ciências Biomédicas Abel Salazar (ICBAS), R. Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal.
Elke WarmerdamDepartment of Neurology, Christian-Albrechts-University, Christian Albrechts-Platz 4, 24118 Kiel, Germany.ORCID 0000-0002-2343-7761
Nuno Vila-ChãCentro Hospitalar e Universitário do Porto (CHP), Largo do Prof. Abel Salazar, 4099-001 Porto, Portugal.
Walter MaetzlerDepartment of Neurology, Christian-Albrechts-University, Christian Albrechts-Platz 4, 24118 Kiel, Germany.
Luís MaiaInstituto de Ciências Biomédicas Abel Salazar (ICBAS), R. Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal.
Christian-Albrechts-Universität zu Kiel · DEUniversidade do Porto · PTCentro Hospitalar do Porto · PT

Funding

EU Horizon 2020 (H2020) research and innovation program under the Marie Sklodowska-Curie grant 721577
6 · The paper itself

Abstract

The occurrence of peripheral neuropathy (PNP) is often observed in Parkinson's disease (PD) patients with a prevalence up to 55%, leading to more prominent functional deficits. Motor assessment with mobile health technologies allows high sensitivity and accuracy and is widely adopted in PD, but scarcely used for PNP assessments. This review provides a comprehensive overview of the methodologies and the most relevant features to investigate PNP and PD motor deficits with wearables. Because of the lack of studies investigating motor impairments in this specific subset of PNP-PD patients, Pubmed, Scopus, and Web of Science electronic databases were used to summarize the state of the art on PNP motor assessment with wearable technology and compare it with the existing evidence on PD. A total of 24 papers on PNP and 13 on PD were selected for data extraction: The main characteristics were described, highlighting major findings, clinical applications, and the most relevant features. The information from both groups (PNP and PD) was merged for defining future directions for the assessment of PNP-PD patients with wearable technology. We established suggestions on the assessment protocol aiming at accurate patient monitoring, targeting personalized treatments and strategies to prevent falls and to investigate PD and PNP motor characteristics.

Indexed as

Parkinson DiseasePeripheral Nervous System DiseasesWearable Electronic DevicesBiomedical TechnologyHumansMonitoring, Physiologicfunctional assessmentParkinson’s diseaseperipheral neuropathywearable health technology

Identifiers

PMID33228056
PMCPMC7699399
OpenAlexW3104879713

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.