Evidence map›Paper›PMID 40191533›Full record

ArticleJournal of health monitoring2025

Parkinson disease - Prevalence, trends and regional patterns in Germany. An analysis based on routine data from the statutory health insurance.

Alexander Rommel, Günter Deuschl, Richard Dodel, Dinara Yessimova, Hannelore Neuhauser, Gabriela Brückner, Helmut Schröder, Katrin Schüssel, Michael Porst

Abstract read
In one paragraph

Article in Journal of health monitoring, 2025. 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.

  1. Trial
  2. Article
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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.

Alexander RommelRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Günter DeuschlUniversity Hospital Schleswig-Holstein, Kiel University, Department of Neurology, Kiel, Germany.
Richard DodelUniversity of Duisburg-Essen, Geriatric Center Haus Berge, Essen, Germany.
Dinara YessimovaRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Hannelore NeuhauserRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.
Gabriela BrücknerAOK Federal Association, WIdO - AOK Research Institute, Berlin, Germany.
Helmut SchröderAOK Federal Association, WIdO - AOK Research Institute, Berlin, Germany.
Katrin SchüsselAOK Federal Association, WIdO - AOK Research Institute, Berlin, Germany.
Michael PorstRobert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As part of the German Burden of Disease Study, population-based prevalences of important diseases are estimated. This allows regional patterns and temporal trends to be identified. Methods: The prevalence of Parkinson disease in the population was estimated cross-sectionally for the years 2017 to 2022 at the level of the Spatial Planning Regions using routine data of persons insured in the statutory health insurance AOK, adjusted for age, sex and morbidity (administrative prevalence). Results: In 2022, the prevalence of Parkinson disease in Germany was 0.35 % of the population. This represents approximately 295,000 people. The prevalence is 0.34 % in women and 0.36 % in men. The prevalence of Parkinson disease increases with age. It is 0.61 % from the age of 40 and 1.42 % from the age of 65. There is a slight downward trend over time. The age-standardised regional distribution shows no clear pattern. Conclusions: Measured by administrative prevalence, the significance of Parkinson disease for population health remains largely stable with a slight downward trend.

Indexed as

Age distributionHealth claims dataMorbidityParkinson diseasePrevalencePublic healthRisk factorsSecondary data analysisTime trends

Identifiers

PMID40191533
PMCPMC11969279

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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.