Evidence map›Paper›PMID 41224771›Full record

ArticleNPJ Parkinson's disease2025

Modelling cholinergic and dopaminergic function over time in Parkinson's disease with and without GBA1 variants.

Sofie Slingerland, Eline K R de Meyer, Harm J van der Horn, Giulia Carli, Anne C Slomp, Emile d'Angremont, Jeffrey M Boertien, Ingeborg Goethals, Sanne K Meles, Sygrid van der Zee and 1 more

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Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Sofie Slingerland *Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. s.slingerland@umcg.nl.
Eline K R de Meyer *Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Harm J van der HornDepartment of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Giulia CarliDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Anne C SlompDepartment of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Emile d'AngremontDepartment of Biomedical Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Jeffrey M BoertienDepartment of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Ingeborg GoethalsDepartment of Diagnostic Sciences, University of Ghent, Gent, Belgium.
Sanne K MelesDepartment of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Sygrid van der ZeeDepartment of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Teus van LaarDepartment of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Funding

Michael J. Fox Foundation for Parkinson's Research MJFF-010551
6 · The paper itself

Abstract

Parkinson's Disease (PD) patients carrying GBA1-variants (GBA-PD) often show a faster cognitive decline, suggesting accelerated cholinergic degeneration. This study investigated changes over time in whole-brain cholinergic innervation within the context of dopaminergic changes and clinical outcomes in GBA-PD versus non-GBA-PD. 171 PD participants (44 GBA-PD, 127 non-GBA-PD) underwent clinical and neuropsychological assessments, brain MRI,

Identifiers

PMID41224771
PMCPMC12612048

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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.