Evidence map›Paper›PMID 30420802›Full record

ArticleFrontiers in aging neuroscience2018

The Luxembourg Parkinson's Study: A Comprehensive Approach for Stratification and Early Diagnosis.

Geraldine Hipp, Michel Vaillant, Nico J Diederich, Kirsten Roomp, Venkata P Satagopam, Peter Banda, Estelle Sandt, Kathleen Mommaerts, Sabine K Schmitz, Laura Longhino and 16 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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  3. Progression ofFrontiers in aging neuroscience · 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

26 authors.

Geraldine HippClinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Michel VaillantCompetence Centre in Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg.
Nico J DiederichNeurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
Kirsten RoompBioinformatics Core, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur Alzette, Luxembourg.
Venkata P SatagopamBioinformatics Core, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur Alzette, Luxembourg.
Peter BandaBioinformatics Core, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur Alzette, Luxembourg.
Estelle SandtIntegrated BioBank of Luxembourg, Dudelange, Luxembourg.
Kathleen MommaertsIntegrated BioBank of Luxembourg, Dudelange, Luxembourg.
Sabine K SchmitzClinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Laura LonghinoNeurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
Alexandra SchweicherNeurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
Anne-Marie HanffNeurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
Béatrice NicolaiNeurology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
Pierre KolberClinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Dorothea ReiterClinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Lukas PavelkaClinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Sylvia BinckClinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Claire PaulyClinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Lars GeffersClinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Fay BetsouIntegrated BioBank of Luxembourg, Dudelange, Luxembourg.
Manon GantenbeinClinical and Epidemiological Investigation Center, Luxembourg Institute of Health, Strassen, Luxembourg.
Jochen KluckenDepartment of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
Thomas GasserDepartment of Neurodegeneration, Hertie-Institute for Clinical Brain Research and German Center for Neurodegenerative Diseases, Tübingen, Germany.
Michele T HuNuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, United Kingdom.
Rudi BallingClinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Rejko KrügerClinical and Experimental Neuroscience, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.

Funding

Parkinson's UK J-0901
6 · The paper itself

Abstract

While genetic advances have successfully defined part of the complexity in Parkinson's disease (PD), the clinical characterization of phenotypes remains challenging. Therapeutic trials and cohort studies typically include patients with earlier disease stages and exclude comorbidities, thus ignoring a substantial part of the real-world PD population. To account for these limitations, we implemented the Luxembourg PD study as a comprehensive clinical, molecular and device-based approach including patients with typical PD and atypical parkinsonism, irrespective of their disease stage, age, comorbidities, or linguistic background. To provide a large, longitudinally followed, and deeply phenotyped set of patients and controls for clinical and fundamental research on PD, we implemented an open-source digital platform that can be harmonized with international PD cohort studies. Our interests also reflect Luxembourg-specific areas of PD research, including vision, gait, and cognition. This effort is flanked by comprehensive biosampling efforts assuring high quality and sustained availability of body liquids and tissue biopsies. We provide evidence for the feasibility of such a cohort program with deep phenotyping and high quality biosampling on parkinsonism in an environment with structural specificities and alert the international research community to our willingness to collaborate with other centers. The combination of advanced clinical phenotyping approaches including device-based assessment will create a comprehensive assessment of the disease and its variants, its interaction with comorbidities and its progression. We envision the Luxembourg Parkinson's study as an important research platform for defining early diagnosis and progression markers that translate into stratified treatment approaches.

Indexed as

cohortdeep phenotypinglongitudinalparkinsonismstratification

Identifiers

PMID30420802
PMCPMC6216083

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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.