Evidence map›Paper›PMID 38499543›Full record

ArticleNPJ Parkinson's disease2024

Turning alterations detected by mobile health technology in idiopathic REM sleep behavior disorder.

Cinzia Zatti, Andrea Pilotto, Clint Hansen, Andrea Rizzardi, Marcello Catania, Robbin Romijnders, Leandro Purin, Maria P Pasolini, Eva Schaeffer, Andrea Galbiati and 4 more

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 4 institutions in 2 countries.

Cinzia Zatti *Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy.ORCID http://orcid.org/0009-0001-5648-0408
Andrea Pilotto *Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy. pilottoandreae@gmail.com.ORCID http://orcid.org/0000-0003-2029-6606
Clint HansenDepartment of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany.ORCID http://orcid.org/0000-0003-4813-3868
Andrea RizzardiDepartment of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy.
Marcello CataniaLaboratory of digital Neurology and biosensors, University of Brescia, Brescia, Italy.
Robbin RomijndersDepartment of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany.ORCID http://orcid.org/0000-0002-2507-0924
Leandro PurinDepartment of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy.
Maria P PasoliniDepartment of Clinical and Experimental Sciences, Neurophysiology Unit, University of Brescia, Brescia, Italy.
Eva SchaefferDepartment of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany.
Andrea GalbiatiIRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology-Sleep Disorders Centre, Milan, Italy.
Luigi Ferini-StrambiIRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Neurology-Sleep Disorders Centre, Milan, Italy.ORCID http://orcid.org/0000-0003-2867-5424
Daniela BergDepartment of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany.
Walter MaetzlerDepartment of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany.ORCID http://orcid.org/0000-0002-5945-4694
Alessandro PadovaniDepartment of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy.
Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITChristian-Albrechts-Universität zu Kiel · DEUniversity of Brescia · ITVita-Salute San Raffaele University · IT

Funding

Innovative Medicines Initiative (IMI) ID853981
6 · The paper itself

Abstract

Idiopathic REM sleep Behavior Disorder (iRBD) is a condition at high risk of developing Parkinson's disease (PD) and other alpha-synucleinopathies. The aim of the study was to evaluate subtle turning alterations by using Mobile health technology in iRBD individuals without subthreshold parkinsonism. A total of 148 participants (23 persons with polysomnography-confirmed iRBD without subthreshold parkinsonism, 60 drug-naïve PD patients, and 65 age-matched controls were included in this prospective cross-sectional study. All underwent a multidimensional assessment including cognitive and non-motor symptoms assessment. Then a Timed-Up-and-Go test (TUG) at normal and fast speed was performed using mobile health technology on the lower back (Rehagait®, Hasomed, Germany). Duration, mean, and peak angular velocities of the turns were compared using a multivariate model correcting for age and sex. Compared to controls, PD patients showed longer turn durations and lower mean and peak angular velocities of the turns in both TUGs (all p ≤ 0.001). iRBD participants also showed a longer turn duration and lower mean (p = 0.006) and peak angular velocities (p < 0.001) compared to controls, but only in the TUG at normal speed. Mobile health technology assessment identified subtle alterations of turning in subjects with iRBD in usual, but not fast speed. Longitudinal studies are warranted to evaluate the value of objective turning parameters in defining the risk of conversion to PD in iRBD and in tracking motor progression in prodromal PD.

Identifiers

PMID38499543
PMCPMC10948811
OpenAlexW4392927608

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.