Evidence map›Paper›PMID 32927816›Full record

ReviewSensors (Basel, Switzerland)2020

Shedding Light on Nocturnal Movements in Parkinson's Disease: Evidence from Wearable Technologies.

Alessandro Zampogna, Alessandro Manoni, Francesco Asci, Claudio Liguori, Fernanda Irrera, Antonio Suppa

Open access · goldAbstract readReview
In one paragraph

Review 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 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Evaluation of movement and brain activity.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2021
    Review
  13. Article
  14. 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

6 authors at 3 institutions in 1 country.

Alessandro ZampognaDepartment of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-0227-1993
Alessandro ManoniDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0003-1232-0354
Francesco AsciDepartment of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0003-0717-3521
Claudio LiguoriDepartment of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Fernanda IrreraDepartment of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0003-1831-6786
Antonio SuppaDepartment of Human Neurosciences, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-9903-5550
Sapienza University of Rome · ITIstituto Neurologico Mediterraneo · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Parkinson's disease (PD), abnormal movements consisting of hypokinetic and hyperkinetic manifestations commonly lead to nocturnal distress and sleep impairment, which significantly impact quality of life. In PD patients, these nocturnal disturbances can reflect disease-related complications (e.g., nocturnal akinesia), primary sleep disorders (e.g., rapid eye movement behaviour disorder), or both, thus requiring different therapeutic approaches. Wearable technologies based on actigraphy and innovative sensors have been proposed as feasible solutions to identify and monitor the various types of abnormal nocturnal movements in PD. This narrative review addresses the topic of abnormal nocturnal movements in PD and discusses how wearable technologies could help identify and assess these disturbances. We first examine the pathophysiology of abnormal nocturnal movements and the main clinical and instrumental tools for the evaluation of these disturbances in PD. We then report and discuss findings from previous studies assessing nocturnal movements in PD using actigraphy and innovative wearable sensors. Finally, we discuss clinical and technical prospects supporting the use of wearable technologies for the evaluation of nocturnal movements.

Indexed as

MovementParkinson DiseaseWearable Electronic DevicesActigraphyHumansHyperkinesisHypokinesiaQuality of LifeSleepSleep Wake Disordersactigraphyakinesianocturnal movementsparkinson’s diseasepolysomnographyRBDwearable sensors

Identifiers

PMID32927816
PMCPMC7571235
OpenAlexW3084205227

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.