Evidence map›Paper›PMID 25022894›Full record

ArticleDer Nervenarzt2014

[Epidemiology of multiple sclerosis in Germany: regional differences and drug prescription in the claims data of the statutory health insurance].

G Petersen, R Wittmann, V Arndt, D Göpffarth

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Der Nervenarzt, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 69 citations in OpenAlex.

  1. Complex intervention for MS patients in Germany - can it be cost-saving for the society?The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  13. Multiple sclerosis and nutrition: back to the future?Therapeutic advances in neurological disorders · 2020
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  17. Treatment choices and neuropsychological symptoms of a large cohort of early MS.Neurology(R) neuroimmunology & neuroinflammation · 2018
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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

4 authors at 1 institution in 1 country.

G PetersenBundesversicherungsamt, Friedrich-Ebert-Allee 38, 53113, Bonn, Deutschland, gabriele.petersen@bva.de.
R Wittmann
V Arndt
D Göpffarth
Friedrich-Ebert-Stiftung e.V. · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNationwide population-based information on the prevalence of multiple sclerosis (MS) in Germany has so far not been available. In this study the prevalence of MS was determined with the help of the claims data of the health insurance funds underlying the morbidity-based risk adjustment scheme (M-RSA). MATERIAL AND

methodsHealth insurance funds reported inpatient and outpatient diagnoses, outpatient prescriptions, costs and enrolment data for all persons insured in the German statutory health insurance (SHI). The data reported for 2010 form the basis of this study which collated data on the 12-month prevalence, prevalence related to age and gender, drug therapy, regional distribution pattern, combinations of diagnoses and hospitalization.

resultsNearly 200,000 people insured in the SHI have been diagnosed with MS. Hence, the prevalence seems to be considerably higher than was previously assumed. In addition, a slight west-east gradient was apparent. On average 49 % of all MS patients (with a slight east-west gradient) received MS-specific inpatient drug therapy. Insured patients living in the east received on average 30 daily doses per year less than patients living in the western part.

conclusionFor the first time MS prevalence has been determined nationwide for Germany with the help of SHI data. It appears that previously applied methods have underestimated the prevalence. The regional differences found with respect to prevalence and drug therapy need further clarification. The data underlying the M-RSA do not allow more causal research.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolDrug PrescriptionsFemaleGeography, MedicalGermanyHumansImmunosuppressive AgentsInfantInfant, NewbornInsurance, Health, ReimbursementImmunosuppressive Agents

Identifiers

PMID25022894
OpenAlexW73781805

What OpenQuestion holds

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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.