Evidence map›Paper›PMID 32925095›Full record

ArticleJournal of Parkinson's disease2020

The Clinical Non-Motor Connectome in Early Parkinson's Disease.

Nico J Diederich, Nicolas Sauvageot, Vannina Pieri, Géraldine Hipp, Michel Vaillant

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Nico J DiederichDepartment of Neurology, Centre Hospitalier de Luxembourg, Luxembourg City, Luxembourg.
Nicolas SauvageotCompetence Center for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg.
Vannina PieriDepartment of Neurology, Centre Hospitalier de Luxembourg, Luxembourg City, Luxembourg.
Géraldine HippLuxembourg Centre of Systems Biomedicine, University of Luxembourg, University of Luxembourg, Belvaux, Luxembourg.
Michel VaillantCompetence Center for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-motor symptoms (NMS) of various anatomical origins are seen in early stage idiopathic Parkinson's disease (IPD).

objectiveTo analyse when and how NMS are linked together at this stage of the disease.

methodsProspective study recruiting 64 IPD patients with ≤3 years of disease duration and 71 age-matched healthy controls (HC). NMS were clustered in 7 non-motor domains (NMD): general cognition, executive function, visuospatial function, autonomic function, olfaction, mood, and sleep. Correlation coefficients ≥|0.3| were considered as significant. Bootstrapped correlation coefficients between the scores were generated in both groups. Fourteen IPD patients and 19 HC were available for a follow-up study two years later.

resultsThe mean age of both groups was similar. 58% of IPD patients and 37% of HC were male (p = 0.01). At baseline IPD patients performed less well than HC on all NMD (p value between 0.0001 and 0.02). Out of 91 possible correlations between NMD, 21 were significant in IPD patients and 14 in HC at the level of ≥|0.3|. The mean correlation level was higher in IPD patients than in HC, as evidenced by the higher box plot of correlation coefficients. Visuospatial scores at baseline were predictive of the motor deterioration at the follow-up exam.

conclusionAt early IPD stage various NMS are linked together, although not connected by anatomical networks. Such a clinical NMD connectome suggests almost synchronous disease initiation at different sites as also supported by fMRI findings. Alternatively, there may be compensation-driven interconnectivity of NMD.

Indexed as

Disease ProgressionModels, StatisticalAgedAutonomic Nervous System DiseasesCognitive DysfunctionFemaleFollow-Up StudiesHumansMaleMiddle AgedMood DisordersOlfaction DisordersParkinson DiseaseSleep Wake Disorderscompensationconnectomenon-motor symptomsParkinson’s disease

Identifiers

PMID32925095
PMCPMC7683075

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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.