Evidence map›Paper›PMID 35918350›Full record

ArticleNPJ Parkinson's disease2022

Clinical trajectories and biomarkers for weight variability in early Parkinson's disease.

Daniele Urso, Daniel J van Wamelen, Lucia Batzu, Valentina Leta, Juliet Staunton, José A Pineda-Pardo, Giancarlo Logroscino, Jagdish Sharma, K Ray Chaudhuri

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
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  3. When the Scale Drops: Pathways to Weight Loss in Parkinson's Disease and Future Directions.Movement disorders : official journal of the Movement Disorder Society · 2026
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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

9 authors at 5 institutions in 4 countries.

Daniele UrsoKing's College London, Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, London, UK. daniele.urso@kcl.ac.uk.
Daniel J van WamelenKing's College London, Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, London, UK.ORCID http://orcid.org/0000-0003-0921-5158
Lucia BatzuKing's College London, Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, London, UK.ORCID http://orcid.org/0000-0001-6249-2803
Valentina LetaKing's College London, Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, London, UK.
Juliet StauntonKing's College London, Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, London, UK.
José A Pineda-PardoHM CINAC. Centro Integral de Neurociencias AC. HM Hospitales. Fundación de Investigación HM Hospitales. HM Hospitales, Madrid, Spain.ORCID http://orcid.org/0000-0002-8776-0031
Giancarlo LogroscinoCenter for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari 'Aldo Moro', "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy.
Jagdish SharmaGeriatric Medicine (Movement Disorders), Lincoln County Hospital, Lincoln, United Kingdom, University of Lincoln, Lincoln, UK.
K Ray ChaudhuriKing's College London, Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience, London, UK.
King's College London · GBBiomedical Research Networking Center on Neurodegenerative Diseases · ESLincoln County Hospital · GBRadboud University Nijmegen · NLUniversity of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unexplained weight changes that occur in Parkinson's disease (PD), are often neglected and remain a poorly understood non-motor feature in patients with PD. A specific 'Park-weight' phenotype with low body weight has been described, and our aim was to evaluate the clinical and prognostic trajectories and biomarkers of weight variability in PD. We evaluated body weight-related biomarkers in 405 de novo PD patients and 187 healthy controls (HC) over a 5-year follow-up period from the PPMI database. Body-weight variability was defined as intra-individual variability in body weight between visits. PD patients were categorized as weight losers, gainers, or patients with stable weight. The differential progression of motor and non-motor clinical variables between groups was explored using linear mixed-effects models. Finally, we estimated longitudinal changes in weight as a function of baseline and longitudinal striatal presynaptic dopaminergic transporter imaging. PD patients presented a greater weight variability compared to HC (p = 0.003). Patients who developed weight loss had lower CSF amyloid-beta 1-42 (p = 0.009) at baseline. In addition, patients with weight loss showed a faster cognitive decline (p = 0.001), whereas patients with weight gain showed a slower motor progression (p = 0.001), compared to patients with stable weight. Baseline right striatal denervation was a predictor of weight variability in both PD patients and HC (p < 0.001). Similarly, weight variability in PD patients was associated with the progression of right striatal denervation (p < 0.001). Weight variability and specifically weight loss are more frequent in PD compared to HC, and are associated with specific motor, non-motor and cognitive progression patterns. A greater CSF amyloid burden was present at baseline in patients with subsequent weight loss. Presynaptic dopaminergic imaging in the right striatum may serve as a predictor of future weight changes in PD and HC.

Identifiers

PMID35918350
PMCPMC9345874
OpenAlexW4289520312

What OpenQuestion holds

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LicenceCC BY
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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.