Evidence map›Paper›PMID 32357176›Full record

ArticlePloS one2020

Epidemiology, characteristics and treatment of patients with relapsing remitting multiple sclerosis and incidence of high disease activity: Real world evidence based on German claims data.

Christoph Ohlmeier, Holger Gothe, Judith Haas, Ulrike Osowski, Carina Weinhold, Sarah Blauwitz, Niklas Schmedt, Wolfgang Galetzka, Fabian Berkemeier, Björn Tackenberg and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

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  12. Review
  13. Digital Twins for Multiple Sclerosis.Frontiers in immunology · 2021
    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

11 authors at 5 institutions in 1 country.

Christoph OhlmeierDepartment Health Services Research, IGES Institut GmbH, Berlin, Germany.ORCID 0000-0002-2868-5211
Holger GotheDepartment Health Services Research, IGES Institut GmbH, Berlin, Germany.
Judith HaasCenter for Multiple Sclerosis, Jewish Hospital Berlin, Berlin, Germany.
Ulrike OsowskiMerck Serono GmbH, Darmstadt, Germany, an affiliate of Merck KGaA, Darmstadt, Germany.
Carina WeinholdMerck Serono GmbH, Darmstadt, Germany, an affiliate of Merck KGaA, Darmstadt, Germany.
Sarah BlauwitzDepartment Health Services Research, IGES Institut GmbH, Berlin, Germany.
Niklas SchmedtInGef - Institute for Applied Health Research Berlin GmbH, Berlin, Germany.
Wolfgang GaletzkaInGef - Institute for Applied Health Research Berlin GmbH, Berlin, Germany.
Fabian BerkemeierDepartment Health Services Research, IGES Institut GmbH, Berlin, Germany.
Björn TackenbergCenter of Neuroimmunology, Philipps-University, Marburg, Germany.
Martin StangelClinical Neuroimmunology and Neurochemistry, Dept. of Neurology, Hannover Medical School, Hannover, Germany.
IGES Institut · DEInstitute for Applied Economic Research · DEMerck (Germany) · DEMedizinische Hochschule Hannover · DEPhilipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple Sclerosis (MS) is a chronic inflammatory, immune mediated disease of the central nervous system, with Relapsing Remitting MS (RRMS) being the most common type. Within the last years, the status of high disease activity (HDA) has become increasingly important for clinical decisions. Nevertheless, little is known about the incidence, the characteristics, and the current treatment of patients with RRMS and HDA in Germany. Therefore, this study aims to estimate the incidence of HDA in a German RRMS patient population, to characterize this population and to describe current drug treatment routines and further healthcare utilization of these patients.

methodsA claims data analyses has been conducted, using a sample of the InGef Research Database that comprises data of approximately four million insured persons from around 70 German statutory health insurances (SHI). The study was conducted in a retrospective cohort design, including the years 2012-2016. Identification of RRMS population based on ICD-10 code (ICD-10-GM: G35.1). For identification of HDA, criteria from other studies as well as expert opinions have been used. Information on incidence, characteristics and current treatment of patients with RRMS and HDA was considered.

resultsThe overall HDA incidence within the RRMS population was 8.5% for 2016. It was highest for the age group of 0-19 years (29.4% women, 33.3% men) and lowest for the age group of ≥ 50 years (4.3% women, 5.6% men). Mean age of patients with RRMS and incident HDA was 38.4 years (SD: 11.8) and women accounted for 67.8%. Analyses of drug utilization showed that 82.4% received at least one disease-modifying drug (DMD) in 2016. A percentage of 49.8% of patients received drugs for relapse therapy. A share of 55% of RRMS patients with HDA had at least one hospitalization with a mean length of stay of 13.9 days (SD: 18.3 days) in 2016. The average number of outpatient physician contacts was 28.1 (SD: 14.0).

conclusionsThis study based on representative Germany-wide claims data from the SHI showed a high incidence of HDA especially within the young RRMS population. Future research should consider HDA as an important criterion for the quality of care for MS patients.

Indexed as

Multiple Sclerosis, Relapsing-RemittingAdolescentAdultChildChild, PreschoolCohort StudiesComorbidityFemaleGermanyHumansIncidenceInfantInfant, NewbornMaleMiddle AgedMultiple Sclerosis

Identifiers

PMID32357176
PMCPMC7194363
OpenAlexW3021445393

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.