Evidence map›Paper›PMID 36581896›Full record

ArticleNeurological research and practice2022

Myositis in Germany: epidemiological insights over 15 years from 2005 to 2019.

Marc Pawlitzki, Laura Acar, Lars Masanneck, Alice Willison, Liesa Regner-Nelke, Christopher Nelke, Helmut L'hoest, Ursula Marschall, Jens Schmidt, Sven G Meuth and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Neurological research and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  4. Prognostic impact of disease-related complications in asymptomatic mitral regurgitation: a health insurance claims analysis.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
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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

11 authors at 4 institutions in 1 country.

Marc Pawlitzki *Department of Neurology, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany. marcguenter.pawlitzki@med.uni-duesseldorf.de.ORCID http://orcid.org/0000-0003-3080-2277
Laura Acar *BARMER, Wuppertal, Germany.
Lars MasanneckDepartment of Neurology, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Alice WillisonDepartment of Neurology, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Liesa Regner-NelkeDepartment of Neurology, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Christopher NelkeDepartment of Neurology, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
Helmut L'hoestBARMER, Wuppertal, Germany.
Ursula MarschallBARMER, Wuppertal, Germany.
Jens SchmidtDepartment of Neurology and Pain Therapy, Immanuel Clinic Rüdersdorf, University Hospital of the Brandenburg Medical School - Theodor Fontane, Rüdersdorf Berlin, Germany.
Sven G Meuth *Department of Neurology, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany. meuth@uni-duesseldorf.de.
Tobias Ruck *Department of Neurology, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany. tobias.ruck@med.uni-duesseldorf.de.
Heinrich Heine University Düsseldorf · DEBARMER GEK · DEHasso Plattner Institute · DEMedizinische Hochschule Brandenburg Theodor Fontane · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe medical care of patients with myositis is a great challenge in clinical practice. This is due to the rarity of these disease, the complexity of diagnosis and management as well as the lack of systematic analyses.

objectivesTherefore, the aim of this project was to obtain an overview of the current care of myositis patients in Germany and to evaluate epidemiological trends in recent years.

methodsIn collaboration with BARMER Insurance, retrospective analysis of outpatient and inpatient data from an average of approximately 8.7 million insured patients between January 2005 and December 2019 was performed using ICD-10 codes for myositis for identification of relevant data. In addition, a comparative analysis was performed between myositis patients and an age-matched comparison group from other populations insured by BARMER.

results45,800 BARMER-insured individuals received a diagnosis of myositis during the observation period, with a relatively stable prevalence throughout. With regard to comorbidities, a significantly higher rate of cardiovascular disease as well as neoplasm was observed compared to the control group within the BARMER-insured population. In addition, myositis patients suffer more frequently from psychiatric disorders, such as depression and somatoform disorders. However, the ICD-10 catalogue only includes the specific coding of "dermatomyositis" and "polymyositis" and thus does not allow for a sufficient analysis of all idiopathic inflammatory myopathies subtypes.

conclusionThe current data provide a comprehensive epidemiological analysis of myositis in Germany, highlighting the multimorbidity of myositis patients. This underlines the need for multidisciplinary management. However, the ICD-10 codes currently still in use do not allow for specific analysis of the subtypes of myositis. The upcoming ICD-11 coding may improve future analyses in this regard.

Identifiers

PMID36581896
PMCPMC9798556
OpenAlexW4313331757

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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.