Evidence map›Paper›PMID 37662035›Full record

ArticleFrontiers in neurology2023

Fluctuations in Parkinson's disease and personalized medicine: bridging the gap with the neuropsychiatric fluctuation scale.

Emmanuelle Schmitt, Bettina Debu, Ana Castrioto, Andrea Kistner, Valerie Fraix, Martine Bouvard, Elena Moro

Abstract read
In one paragraph

Article in Frontiers in neurology, 2023. 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

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

4 citing papers in PubMed.

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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.

Emmanuelle SchmittDivision of Neurology, CHU Grenoble Alpes, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble Alpes University, Grenoble, France.
Bettina DebuDivision of Neurology, CHU Grenoble Alpes, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble Alpes University, Grenoble, France.
Ana CastriotoDivision of Neurology, CHU Grenoble Alpes, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble Alpes University, Grenoble, France.
Andrea KistnerDivision of Neurology, CHU Grenoble Alpes, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble Alpes University, Grenoble, France.
Valerie FraixDivision of Neurology, CHU Grenoble Alpes, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble Alpes University, Grenoble, France.
Martine BouvardPsychology and Neurocognition Laboratory, Grenoble Alpes University, Université Savoie Mont Blanc, CNRS, LPNC, Grenoble, France.
Elena MoroDivision of Neurology, CHU Grenoble Alpes, Grenoble Institute of Neuroscience, INSERM U1216, Grenoble Alpes University, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neuropsychiatric fluctuations (NpsyF) are frequent and disabling in people with Parkinson's disease (PD). In OFF-medication, NpsyF entail Objective: To evaluate the psychometric properties of the NFS in PD. Methods: PD patients with motor fluctuations and healthy controls (HC) were assessed. In PD patients, the NFS was administrated in both the ON-and OFF-medication conditions, together with the movement disorders society-unified Parkinson disease rating scale parts I-IV. Depression (Beck depression scale II), apathy (Starkstein apathy scale) and non-motor fluctuations items of the Ardouin scale of behaviour in PD (ASBPD OFF and ON items) were also assessed. NFS internal structure was evaluated with principal component analysis consistency (PCA) in both medication conditions in PD patients and before emotional induction in HC. NFS internal consistency was assessed using Cronbach's alpha coefficient. NFS convergent and divergent validity was measured through correlations with BDI-II, Starktein, and ASBPD OFF and ON non motor items. Specificity was assessed comparing NFS global score between the HC and PD populations. Sensitivity was evaluated with t-student test comparing the ON-and the OFF-medication conditions for NFS global score and for Results: In total, 101 consecutive PD patients and 181 HC were included. In PD patients and HC, PCA highlighted one component that explained 32-35 and 42% of the variance, respectively. Internal consistency was good for both the NFS Conclusion: The satisfactory properties of the NFS support its use to assess acute neuropsychiatric fluctuations in PD patients, adding to available tools.

Indexed as

neuropsychiatric fluctuationsParkinson‘s diseasepsychometric characteristicsscalevalidation

Identifiers

PMID37662035
PMCPMC10469620

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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.