Evidence map›Paper›PMID 39881414›Full record

ArticleNeurological research and practice2025

Development and application of a clinical core data set for deep brain stimulation in Parkinson's disease, dystonia or tremor: from data collection to data exchange and data sharing.

Anna-Lena Hofmann, Jonas Widmann, Lilly Brandstetter, Udo Selig, Fabian Haug, Julian Haug, Rüdiger Pryss, Jasper Mecklenburg, Andrea Kreichgauer, Philipp Capetian and 9 more

Abstract read
In one paragraph

Article in Neurological research and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

19 authors.

Anna-Lena HofmannInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany. Hofmann_A9@ukw.de.ORCID http://orcid.org/0000-0002-0409-7124
Jonas WidmannInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
Lilly BrandstetterInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
Udo SeligInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
Fabian HaugInstitute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany.
Julian HaugInstitute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany.
Rüdiger PryssInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
Jasper MecklenburgDepartment of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Andrea KreichgauerDepartment of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Philipp CapetianDepartment of Neurology, University Hospital Würzburg, Würzburg, Germany.
Christian J HartmannInstitute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Christian NiklasInstitute for Medical Informatics, University Hospital Heidelberg, Heidelberg, Germany.
Petra RitterBerlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
Patricia KrauseDepartment of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Alfons SchnitzlerInstitute of Clinical Neuroscience and Medical Psychology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Jens VolkmannDepartment of Neurology, University Hospital Würzburg, Würzburg, Germany.
Andrea A KühnDepartment of Neurology and Experimental Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Peter HeuschmannInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
Kirsten HaasInstitute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.

Funding

Deutsche Forschungsgemeinschaft project ID 424778381-TRR 295
6 · The paper itself

Abstract

backgroundComprehensive clinical data regarding factors influencing the individual disease course of patients with movement disorders treated with deep brain stimulation might help to better understand disease progression and to develop individualized treatment approaches.

methodsThe clinical core data set was developed by a multidisciplinary working group within the German transregional collaborative research network ReTune. The development followed standardized methodology comprising review of available evidence, a consensus process and performance of the first phase of the study. To ensure high data quality, measures for standardized training, monitoring as well as plausibility and data quality tests were implemented.

resultsThe clinical core data set comprises information about medical history, clinical symptoms, information about deep brain stimulation surgery, complications and outcome for the main neurological movement disorders Parkinson's disease, tremor, and dystonia. Its applicability as well as data exchange and quality control was tested within the first phase of the study in 51 patients from Würzburg.

conclusionsWithin the ReTune project, a standardised clinical core data set for Parkinson's disease, dystonia and tremor was developed. The collection as well as concepts for the implementation of monitoring and data exchange were elaborated and successfully tested. Trial registration number ClinicalTrials.gov (DRKS-ID: DRKS00031878).

Indexed as

Clinical core data setData exchangeDystoniaParkinson’s diseaseTremor

Identifiers

PMID39881414
PMCPMC11780920

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.