Evidence map›Paper›PMID 38937689›Full record

ArticleBMC neurology2024

Incidence of Parkinson's disease in Germany based on prevalence data from 70 million patients of the statutory health insurance.

Claudius Wattenbach, Gisa Ellrichmann, Insa Feinkohl, Sabrina Voß, Ralph Brinks

Abstract read
In one paragraph

Article in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Claudius WattenbachFaculty of Health/School of Medicine, Chair of Medical Biometry and Epidemiology, Witten/Herdecke University, Witten, 58448, Germany. claudius.wattenbach@uni-wh.de.
Gisa EllrichmannFaculty of Health/School of Medicine, Chair of Neurology II, Witten/Herdecke University, Witten, 58448, Germany.
Insa FeinkohlFaculty of Health/School of Medicine, Chair of Medical Biometry and Epidemiology, Witten/Herdecke University, Witten, 58448, Germany.
Sabrina Voß *Faculty of Health/School of Medicine, Chair of Medical Biometry and Epidemiology, Witten/Herdecke University, Witten, 58448, Germany.
Ralph Brinks *Faculty of Health/School of Medicine, Chair of Medical Biometry and Epidemiology, Witten/Herdecke University, Witten, 58448, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and nonmotor system manifestations and psychiatric symptoms. The aim of this study was to estimate the age- and sex-specific incidence of PD in Germany using an illness-death model and a corresponding partial differential equation (PDE) based on prevalence and mortality data.

methodsBased on a PDE that describes the dynamics in an illness-death model, the age- and sex-specific incidence of PD in Germany was estimated using published prevalence and mortality rates. Prevalence rates were provided by the Central Institute for Statutory Health Insurance (Zi) for the period from 2010 to 2019. Parkinson's related mortality was estimated based on comparable population data from Norway. Bootstrapping was used for incidence estimation (median of 5000 samples) and to obtain 95% confidence intervals to interpret the accuracy of the incidence estimation.

resultsMen had higher incidences of PD than women at all ages. The highest incidences (median of 5000 bootstrap samples) for both groups were estimated for the age of 85 years with an incidence of 538.49 per 100,000 person-years (py) in men and 284.09 per 100,000 py in women, with an increasing width of bootstrapping 95% CIs showing greater uncertainty in the estimation at older ages.

conclusionThe illness-death model and the corresponding PDE, which describes changes in prevalence as a function of mortality and incidence, can be used to estimate the incidence of PD as a chronic disease. As overestimation of incidence is less likely with this method, we found incidence rates of Parkinson's disease that are suitable for further analyses with a lower risk of bias.

Indexed as

Parkinson DiseaseAdolescentAdultAgedAged, 80 and overFemaleGermanyHumansIncidenceInsurance, HealthMaleMiddle AgedPrevalenceYoung AdultAdolescentsEpidemiologyIllness-death modelParkinson’s disease

Identifiers

PMID38937689
PMCPMC11210077

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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.